Shai Revzen's lab builds robots inspired by nature that are easy to construct and get walking. Check out how to build your own BigANT! Rapidly Prototyping Robots with Plate and Reinforced Flexure (PARF) Mechanisms, for IEEE Robotics and Automation Magazine
Learn more: http://creativemachines.cornell.edu/machine-metabolism http://www.jeremyblum.com/portfolio/machine-metabolism/ Accepted for Publication in IEEE Robotics and Automation Magazine Robot shown developed by Franz Nigl, Jeremy Blum, and Shuguang Li under the direction of Dr. Hod Lipson. This video presents a robot capable of autonomously traversing and manipulating a 3D truss structure. The robot is able to approach and traverse multiple structural joints using a combination of translational and rotational motions. A key factor in allowing reliable motion and engagements is the use of specially designed structural building blocks comprised of bidirectional geared rods. A set of traversal plans, each comprised of basic motion primitives, were analyzed for speed, robustness, and repeatability. Paths covering eight joints are demonstrated, as well as automatic element assembly and disassembly. We suggest that the robot architecture and truss module design, such as the one presented here, could open the door to robotically assembled, maintained, and reconfigured structures that would ordinarily be difficult, risky, or time consuming for humans to construct.
Views: 73331 CornellCCSL
Many industrial buildings come with high ceilings to accommodate bulky equipment and materials. Currently, painting these walls requires at least two painters using a scissor lift, and working at such heights exposes painters to safety risks. But the PictoBot, which can run for four hours on one battery charge, requires only one human supervisor and can even operate in the dark. Provided by: Nanyang Technological University For more information see my paper at IEEE Robotics and Automation Magazine https://ieeexplore.ieee.org/document/8360499 https://www.researchgate.net/project/PictoBot-Automatic-Robot-System-for-Indoor-High-Rise-Spray-Painting
Views: 33210 ehsan asadi
For more details check out the paper N. Staub, M. Mohammadi, D. Bicego, Q. Delamare, H. Yang, D. Prattichizzo, P. Robuffo Giordano, D. Lee, and A. Franchi, “The Tele-MAGMaS: An aerial-ground co-manipulator system,” IEEE Robotics & Automation Magazine, 2018.
Views: 46 Antonio Franchi at LAAS-CNRS - RIS team
Soft Robotic Blocks: Introducing SoBL, a Fast-Build Modularized Design Block This video presents a new, modularized design concept for soft robots based on a bottom-up approach by assembling units. This concept enables the structures and motions of soft robots to be rapidly prototyped and revised to create new designs that can accomplish different tasks. The paper about our modularized concept is published in IEEE Robotics & Automation Magazine (Volume: 23, Issue: 3, Sept. 2016). Learn more: http://ieeexplore.ieee.org/document/7549069/ Front cover: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565688
Views: 5611 SNU BioRobotics Lab
Multiple robots escorting a target moving in real-time exhibiting fault tolerance with respect to failures of one or more robots. 2007. G. Antonelli and F. Arrichiello and S. Chiaverini, An Experimental Study of the Entrapment/Escorting Mission for a Multi-Robot System, IEEE Robotics and Automation Magazine, vol. 15, n. 1, pp. 22--29, 2008.
Views: 25 lairobotics
1. IoT Enabled Smart Farming - An IoT Solution for Agriculture and Poultry Farming, 2. IoT Applications in Agriculture | IoT For All, 3. Smart Agriculture Sensors | Mouser, 4. Smart Farming – Internet of Things Solutions for, - Softweb Iot, 5. IOT BASED SMART AGRICULTURE – SlideShare, 6. Why IoT, Big Data & Smart Farming Are the Future of Agriculture – BI, 7. Smart Agriculture System with IoT - Hackster.io, 8. IoT based Smart Agriculture – ijarcce, 9. Smart Farming: IoT in agriculture - IoT India Magazine, 10. IoT and Smart Farming will help Indian farmers | Areas to Cover, 11. 3 Ways the IoT Revolutionizes Farming | Electronic Design, 12. precision farming (PDF) - Beecham Research, 13. Crop monitoring and smart farming using IoT – GeeksforGeeks, 14. IOT Based Monitoring System in Smart Agriculture - IEEE Conference, 15. Smart farming using IOT - IEEE Conference Publication - IEEE Xplore,. 16. smart farming using iot - IAEME Journals, 17. Solutions for Smart Farming - Agriculture IoT Solutions and Internet of, 18. An In-Depth Look At IoT In Agriculture & Smart Farming Solutions, 19. Smart Farming | 2018 Guide to IoT Agriculture Applications, 20. The Future of Smart Farming With IoT and Open Source Farming, 21. IoT Based Smart Farming: 5 Steps (with Pictures) – Instructables, 22. smart farming using iot pdf, 23. smart farming using iot ppt, 24. smart agriculture using iot ppt, 25. smart agriculture using iot pdf, 26. smart farming iot pdf, 27. iot in agriculture research papers, 28. iot based smart agriculture ieee paper, 29. iot based agricultural projects, 30. Smart farm monitoring using Raspberry Pi and Arduino | Request PDF, 31. Smart Farm Monitoring Using Raspberry Pi and Arduino – IJMETMR, 32. Farm Automation System Based on Arduino and Raspberry Pi - DZone, 33. Android Arduino Interface with Smart Farming System - International, 34. Iot Based Smart Poultry Farming using Commodity Hardware and, 35. IOT based Smart Farm Monitoring Using Raspberry PI – IJORST, 36. Farming Robot and IoT based Smart Agriculture – Collaborizm, 37. IOT Based Smart Poultry Farm - Ishitv Technologies, 38. Smart Poultry Farm Monitoring Using IOT and Wireless, - IJARCS, 39. Smart Farming using arduino, 40. arduino farming projects, 41. arduino farm automation, 42. arduino agriculture sensors, 43. smart agriculture using arduino, 44. raspberry pi agriculture project, 45. raspberry pi farm projects, 46. smart agriculture using arduino pdf, 47. farm automation pdf, 48. iot based smart farm irrigation system using raspberry pi, 49. IoT Based Agriculture Monitoring and Smart Irrigation System Using, 50. IOT Based Smart Greenhouse and Poultry Farm Environment, 51. IJSRD - International Journal for Scientific Research, - IJSRD.com, 52. smart irrigation monitoring system using raspberry pi, 53. wifi based agricultural sensor monitoring system, 54. 194 iot Projects - Arduino Project Hub - Arduino Create, 55. Wireless Sensor-based Agricultural Monitoring System, 56. Linux Webserver based Smart Farm Monitoring using Raspberry PI, 57. raspberry pi using ir thermal camera in agriculture farm for smart, 58. Smart Agriculture Monitoring and Data Acqusition System – IRJET, 59. Food and Water Level Control Mechanism for Smart, - IJIRCCE, 60. design of smart farm environment control system based on public data, 61. IOT Based Wireless Sensor Network for Prevention of Crops, - ijecscse, 62. iot based automatic drip irrigation system – ITRA, 63. Advance Agro Farm Design With Smart Farming, Irrigatio,n, - Adalidda, 64. Smart Agriculture System with IoT - Hackster.io, 65. raspberry-pi IEEE PAPER 2018weather forecasting using raspberry pi with internet of things (iot), 66. Smart Agriculture Archives | Electronics For You, 67. Instructable IoT Projects - Instructables Search Results, 68. IOT - Zigbee sensor, Industrial, farm, building automation Freedomotic, 69. Smart farming: IoT based smart sensors agriculture stick for live, 70. Iot Based Smart Agriculture Monitoring System – ijritcc,
Views: 10351 svsembedded
Raj Madhavan Founder and CEO, Humanitarian RoboticsTechnologies, LLC April 22, 2016 Abstract Robotics and automation technologies hold immense promise in transforming people’s lives across various communities around the globe. However, there exists a huge disconnect between what is possible from an engineering and scientific viewpoint and what the expectations of the general public are. The problem lies in the fact that we have not seen many practical solutions that can be deployed in a truly useful and effective fashion towards making a difference in the quality of lives of people. In this talk, I will describe my current work focusing on the applied use of robotics and automation technologies for the benefit of under-served and under-developed communities by working closely with them to sustain developed solutions. This is made possible by bringing together researchers, practitioners from industry, academia, local governments, and various entities such as the IEEE Robotics Automation Society’s Special Interest Group on Humanitarian Technology (RAS-SIGHT), NGOs, and NPOs across the globe. I will discuss a demining challenge that I have co-organized for the last two years with the intent of producing an open-source solution for detecting and classifying unexploded ordnance buried in minefields. I will also outline my recent efforts in the technology and public policy domains with emphasis on socio-economic, cultural, privacy, and security issues in developing and developed economies. Speaker Biography Raj Madhavan is the Founder & CEO of Humanitarian Robotics Technologies, LLC, Maryland, U.S.A. and a Distinguished Visiting Professor of Robotics with AMMACHI Labs at Amrita University, Kerala, India. He has held appointments with the Oak Ridge National Laboratory (March 2001-January 2010) as an R&D staff member based at the National Institute of Standards and Technology (March 2002-June 2013), and as an assistant and associate research scientist, and as a member of the Maryland Robotics Center with the University of Maryland, College Park (February 2010-December 2015). He received a Ph.D. in Field Robotics from the University of Sydney and an ME (Research) in Systems Engineering from the Australian National University. Over the last 20 years, he has contributed to topics in field robotics, and systems and control theory. His current research interests lie in humanitarian robotics and automation – the application and tailoring of existing and emerging robotics and automation technologies for the benefit of humanity in a variety of domains, including unmanned (aerial, ground) vehicles in disaster scenarios. He has authored over 185 papers in archival journals, conferences, and magazines including three books and four journal special issues. Dr. Madhavan is particularly interested in the development of technologies and systems that are cost effective, reliable, efficient and geared towards improving the quality of lives of people in under-served and underdeveloped communities around the globe. Within the IEEE Robotics and Automation Society, he served as the Founding Chair of the Technical Committee on Performance Evaluation and Benchmarking of Robotics and Automation Systems, TC-PEBRAS (2009-2011), Founding Chair of the Humanitarian Robotics and Automation Technology Challenge, HRATC (2014, 2015), Vice President of the Industrial Activities Board (2012-2015), Chair of the Standing Committee for Standards Activities (2010-2015)and since 2012 is the Founding Chair of the Special Interest Group on Humanitarian Technology (RAS-SIGHT). He is the 2016 recipient of the IEEE RAS Distinguished Service Award for his “distinguished service and contributions to RAS industrial and humanitarian activities”. See http://ammachilabs.org/faculty/raj/ for more details.
Views: 1492 cmurobotics
Robotics Innovation Start Up Style Helen Greiner, CyPhy Works Thursday, May 28 08:15-09:05 WSCC 4A http://icra2015.org/conference/plenaries-keynotes Abstract: Innovation gets a lot of air time. There are endless debates on how to achieve it, foster it, or schedule it. But innovation isn’t a monolithic concept. It has horizons and frontiers, and is approached differently by different parts of the creative technical ecosystem. The field of robotics provides excellent examples of this. Universities innovate. Corporate research labs innovate. Start-up companies innovate. But they all approach the development of new ideas from different perspectives, and from different starting points on the creative timeline. Universities should be taking the long view – targeting advancements in timeframes of 10-100 years out. Corporate research draws on current customer needs for impetus, for example, making improvements to existing products or technologies. Start-ups take a different view. To a start-up innovation is lifeblood, immediate; and time to market is critical. In fact, in a start-up a key innovation can be so compelling that the entire company’s direction may pivot around it. All of these types of research are needed for successful economic growth. They are vital to the creation and maintenance of robotics’ technical ecosystem, and are critical to “moving the needle forward.” This talk uses examples from Helen Greiner’s past and continuing career as a leading robotics entrepreneur to elucidate the nature and influence of innovation in start-up companies. Biography: Helen Greiner is CEO of CyPhy Works, a startup company that designs and delivers innovative aerial robots. In 1990, she co-founded iRobot (NASDAQ:IRBT), which has become the global leader of mobile robots with the success of the Roomba™ Vacuuming Robot and the PackBot™ and SUGV Military Robots. Ms Greiner served as President of iRobot until 2004 and Chairman until October 2008. She developed the strategy for and led iRobot's entry into the military market place. At iRobot, she created a culture of innovation that resulted in advanced but practical robot products. She also ran iRobot's financing projects which included raising $35M venture capital and a $75M initial public offering. Greiner holds a bachelor's degree in mechanical engineering and a master's degree in computer science, both from MIT. She was presented with an honorary PhD by WPI in 2009. Helen is highly decorated for her visionary contributions in technology innovation and business leadership. In 2014, she was named as a Presidential Ambassador for Global Entrepreneurship (PAGE) by President Obama and Secretary of Commerce Pritzker. She was named by the Kennedy School at Harvard in conjunction with the U.S. News and World Report as one of America's Best Leaders and was honored by the Association for Unmanned Vehicle Systems International (AUVSI) with the prestigious Pioneer Award. She has also been honored as a Technology Review Magazine "Innovator for the Next Century" and has been awarded the DEMO God Award and DEMO Lifetime Achievement Award. She was named one of the Ernst and Young New England Entrepreneurs of the Year (with iRobot cofounder Colin Angle), invited to the World Economic Forum as a Global Leader of Tomorrow and Young Global Leader, and has been inducted in the Women in Technology International (WITI) Hall of Fame and the National Academy of Engineering. Helen is a Trustee of the Boston Museum Science (MOS). Ms. Greiner has served as the elected President and Board Member of the Robotics Technology Consortium (RTC), as Trustee of the National Defense Industrial Association (NDIA), a Trustee of the Massachusetts Institute of Technology (MIT), as a member of the Army Science Board (ASB), and a member of the Board of Visitors of the Army War College (AWC).
Views: 1292 IEEE.RAS.ICRA
The video shows our experimental results of the final test sprint of the EU project STAMINA. This test was carried out at the PSA plant in Rennes, France. The detailed description can be found in A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing. Krüger, Volker; Chazoule, Arnaud; Crosby, Matthew; Lasnier, Antoine; Pedersen, Mikkel Rath; Rovida, Francesco; Nalpantidis, Lazaros; Petrick, Ronald; Toscano, Cesar; Veiga, Germano. In: Proceedings of the IEEE, Vol. 104, No. 5, 2016, p. 1114-1127.
Views: 1285 Rvmi Lab
This video summarizes the capabilities of the Graz Griffins' fully-autonomous M100 drone at the 2016 DJI Developer Challenge Finals, held the 27-28 of August, 2016. Graz Griffins Team: Jesus Pestana Puerta Michael Maurer Daniel Muschick Felix Egger Alexander Isop Manuel Hofer Banglei Guan Friedrich Fraundorfer Special Thanks to DJI for organizing the Challenge Music: I dunno by grapes (CC license, http://ccmixter.org/files/grapes/16626)  C. Hoppe, M. Klopschitz, M. Rumpler, A. Wendel, S. Kluckner, H. Bischof, and G. Reitmayr, "Online feedback for structure-from-motion image acquisition." in BMVC, 2012.  Rumpler, Markus, Alexander Tscharf, Christian Mostegel, Shreyansh Daftry, Christof Hoppe, Rudolf Prettenthaler, Friedrich Fraundorfer, Gerhard Mayer, and Horst Bischof. "Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance." Computer Vision and Image Understanding, 2016.  D. G. Lowe, "Distinctive image features from scale-invariant keypoints", International journal of computer vision, 2004.  L. Kneip, D. Scaramuzza, and R. Siegwart, "A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation," IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2011.  C. Hoppe, M. Klopschitz, M. Donoser, and H. Bischof, "Incremental surface extraction from sparse structure-from-motion point clouds." in BMVC, 2013.  M. Hofer, M. Maurer, and H. Bischof, "Efficient 3d scene abstraction using line segments", Computer Vision and Image Understanding, 2016.  A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, "Octomap: An efficient probabilistic 3D mapping framework based on octrees," Autonomous Robots, 2013.  B. Lau, C. Sprunk, and W. Burgard, "Efficient grid-based spatial representations for robot navigation in dynamic environments," Elsevier Robotics and Autonomous Systems, 2013.  C. Richter, A. Bry, and N. Roy, "Polynomial Trajectory Planning for Quadrotor Flight," in International Conference on Robotics and Automation, 2013.  I. A. Sucan, M. Moll, and L. E. Kavraki, "The Open Motion Planning Library," IEEE Robotics & Automation Magazine, December 2012.  Karaman, Sertac, and Emilio Frazzoli. "Sampling-based algorithms for optimal motion planning." The International Journal of Robotics Research, 2011.  J.Pestana, R. Prettenthaler, T. Holzmann, D. Muschick, C. Mostegel, F. Fraundorfer, and H. Bischof, "Graz Griffins solution to the european robotics challenges 2014," in Austrian Robotics Workshop. 2015.  Olson, Edwin. "AprilTag: A robust and flexible visual fiducial system." IEEE International Conference on Robotics and Automation (ICRA), 2011.
Views: 895 Aerial Vision Group at ICG - TU Graz
"Exo-Glove: A Soft Wearable Robot for the Hand with a Soft Tendon Routing System" authored by HyunKi In, Brian Byunghyun Kang, MinKi Sin, Kyu-Jin Cho has been accepted for publication in the IEEE Robotics and Automation Magazine. Abstract - Soft wearable robots are good alternatives to rigid-frame exoskeletons because they are compact and lightweight. This article describes a soft wearable hand robot called the Exo-Glove that uses a soft tendon routing system and an underactuation adaptive mechanism. The proposed system can be used to develop other types of soft wearable robots. The glove part of the system is compact and weighs 194 g. Results conducted using a healthy subject showed sufficient performance for the execution of daily life activities, namely, a pinch force of 20 N, a wrap grasp force of 40 N, and a maximum grasped object size of 76 mm. Use of an underactuation mechanism enabled the grasping of objects of various shapes without active control. A subject suffering from paralysis of the hands due to spinal cord injury was able to use the glove to grasp objects of various shapes.
Views: 9213 SNU BioRobotics Lab
This video shows a Borunte 6-DOF industrial robot being driven by Machinekit and ROS. DISCLAIMER: The robot in the video is not a Tormach robot, I just put a Tormach sticker on it. The robot picks a 3D printed part from a 3D printer also driven by Machinekit. To learn more visit: https://machinekoder.com/machinekit-ros-industrial-robot/
Views: 194 Machine Koder
Simbe Robotics and Decathlon USA partnered together to bring Simbe’s Tally, the world’s first fully-autonomous inventory robot, to Decathlon's inaugural U.S. store located in San Francisco, CA. “When launching our first store in San Francisco, a city at the forefront of innovation, we invested in ground-breaking technology that could help us rethink the brick-and-mortar retail experience,” said Tony Leon, Chief Technology Officer at Decathlon. “RFID tagging was pivotal in helping us better manage our inventory. As we look to the next chapter of retail innovation, Tally enables our team to focus on cultivating unique experiences and sharing advice tailored to each customer’s athletic passions.” “Decathlon’s uniquely designed San Francisco flagship store is an environment that fosters significant interaction between customers, product, and store associates; with that comes unique merchandising challenges,” said Brad Bogolea, Chief Executive Officer at Simbe Robotics. “Decathlon has deployed Tally in a uniquely customer-centric environment, leveraging Tally’s RFID capabilities to capture real-time insight into product flow, pricing, and availability by providing precise inventory audits and cycle counts, in addition to sharing the location of each product in store.” Come to 735 Market Street, San Francisco to witness Tally live in action, counting inventory.
Views: 960 Decathlon USA
"Development of Head Care Robot Using Five-Bar Closed Link Mechanism with Enhanced Head Shape Following Capability," by Toshinori Hirose, Takeshi Ando, Soichiro Fujioka and Osamu Mizuno, from Panasonic Corp., Osaka, Japan. Presented at 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan.
Views: 32996 IEEE Spectrum
accepted by AAAI 2012 Robotics and Multimedia Fair We combine both cognitive map and episodic memory functions together to enable advanced cognitive behaviors for robot. The proposed computational model focuses on the neocortical and hippocampus area that incorporates two major network components: EC and CA3 regions. The entorhinal-hippocampal system has been widely studied for its active involvement in the memory process , , . Some works on entorhinal-hippocampal system also focus on the spatial navigation , , , . Here, we focus on both properties and how they contribute to a high-level cognitive behavior. In the EC layer, a 3D CAN structure is used to model the cognitive map. The activities of the neurons in the CAN structure encode an estimation of the robot's location. Given that the size of CAN structure is limited; the size of the map space is limited by the number of cells in CAN. To address this problem, a torus shape connection method is used in CAN for the continuity of the neuron activities' shift in a large space environment . The most active neuron is then mapped to a scaled map with actual location information. The CA3 architecture and dynamics is inspired by the works of Jensen et al. , where the CA3 region is modeled as a recurrent network. The CA3 layer is composed of spiking neurons based on the spike response model (SRM). The synaptic modifications follow the Hebb-rule; simultaneous presynaptic and postsynaptic activity enhances synaptic efficacies. The direct perforant path input from superficial layer of EC to CA3 is quantitatively appropriate to provide cue for recall in CA3 , .  Witter M.P.: Organization of the entorhinal-hippocampal system: a review of current anatomical data. Hippocampus, 3: 33-44 (1993).  Yamaguchi, N., Sato, N., Wagatsuma, H., Wu, Z., Molter, C., Aota, Y.: A unified view of theta-phase coding in the entorhinalChippocampal system. Current Opinion in Neurobiology, 17: 197-204 (2007).  Iijima, T., Witter, M.P., Ichikawa, M., Tominaga, T., Kajiwara, R., Matsumoto, G.: Entorhinal-Hippocampal Interactions Revealed by Real-Time Imaging. Science: 272(5265): 1176-1179 (1996)  Brun, V.H., Otnæss, M.K., Molden, S., Steffenach, H.A., Witter, M.P., Moser, M.B. Moser, E.I.: Place Cells and Place Recognition Maintained by Direct Entorhinal-Hippocampal Circuitry. Science 296(5576): 2243-2246 (2002).  Jeffery, K.J.: Self-localization and the entorhinalChippocampal system. Current Opinion in Neurobiology 17: 1-8 (2008).  Fleischer, J., Edelman, G.: Brain-Based Devices. IEEE Robotics and Automation Magazine, 16(3), 33-41 (2009)  Wyeth, B.G., Milford, M.J.: Spatial Cognition for Robots. IEEE Robotics & Automation Magazine, 16(3), 24--32, 2009.  McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I. and Moser, M. B.: Path integration and the neural basis of the 'cognitive map'. Nature Reviews Neuroscience 7, 663-678 (2006).  Milford, M.J. and Wyeth, G.F.:Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System. IEEE Transactions on Robotics, 24(5), 1038-1053 (2008)  Jensen, O., Idiart, M. A., Lisman, J. E.: Physiologically realistic formation of autoassociative memory in networks with theta/gamma oscillations: role of fast NMDA channels. Learning & Memory 3 (2-3), 243-256 (1996).  Jensen, O., Lisman, J. E.: Novel lists of 7 +/- 2 known items can be reliably stored in an oscillatory short-term memory network: interaction with long-term memory. Learning & Memory 3(2-3), 257-263 (1996).  Rolls, E. T.: A computational theory of episodic memory formation in the hippocampus. Behavioural Brain Research 215 (2), 180-196 (2010).
Views: 553 B. Tian
The Automated Shopping Cart was designed by Brian Cluff, Weston Lay, and Jason Morgan, members of the IEEE USU Student Branch. More information can be found at http://sites.ieee.org/sb-usu/2014/09/29/ieee-member-wins-department-design-competition/#more-2524
Views: 1541 IEEE USU Student Branch
A laser scanner is following pedestrians, and an extended target model (line) for each pedestrian is used in the tracking filter. For more information and reference to this movie, use K Granstrom, C. Lundquist, F. Gustafsson, U. Orguner Random Set Methods: Estimation of Multiple Extended Objects IEEE Robotics and Automation Magazine, 2013 Karl Granström and Umut Orguner A PHD filter for tracking multiple extended targets using random matrices IEEE Transactions on Signal Processing, Pp. 5657 - 5671, Vol. 60, No. 11, November 2012.
Views: 92 Fredrik Gustafsson
Groups of pedestrians are tracked using a surveillance camera. Each group is one extended target, and the PHD filter is tracking each group as well as its size. For more information and reference to this movie, use K Granstrom, C. Lundquist, F. Gustafsson, U. Orguner Random Set Methods: Estimation of Multiple Extended Objects IEEE Robotics and Automation Magazine, 2013 Karl Granström and Umut Orguner A PHD filter for tracking multiple extended targets using random matrices IEEE Transactions on Signal Processing, Pp. 5657 - 5671, Vol. 60, No. 11, November 2012. Karl Granström and Umut Orguner, Estimation and Maintenance of Measurement Rates for Multiple Extended Target Tracking In Proceedings of the International Conference on Information Fusion, Singapore, July 2012.
Views: 293 Fredrik Gustafsson
Carnegie Mellon 16-662 - Spring 2014 - Robot Autonomy Project Advisor: Nathan Michael We implemented an A* planner for 3 dimensions; x, y, and time to account for dynamic obstacles introduced with known future states. A spline path was generated from the series of points to generate a smooth trajectory as a function of time. A MATLAB simulation of quadrotor dynamics was built from scratch from the following reference: Mahony, Robert, Vijay Kumar, and Peter Corke. "Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor." Robotics & Automation Magazine, IEEE 19.3 (2012): 20-32. We then developed software for tuning controller gains with real-time plots and feedback using a MIDI controller to derive optimal gains in Carnegie Mellon's VICON simulation environment. Finally we validated the planner live in the CMU Field Robotics Center. Team Members: Sameer Ansari, Sarah Betzig, Steven Blass, Nathaniel Chapman
Views: 1204 Sarah Betzig
The paper will be presented in IEEE International Conference on Robotics and Automation (ICRA), Stockholm, May 2016. Author: Yinxiao Li, Xiuhan Hu, Danfei Xu, Yonghao Yue, Eitan Grinspun, Peter Allen (Columbia University) Paper: http://arxiv.org/abs/1602.04918 Related: http://www.cs.columbia.edu/~yli/laundry_robot Abstract: Robotic manipulation of deformable objects remains a challenging task. One such task is to iron a piece of cloth autonomously. Given a roughly flattened cloth, the goal is to have an ironing plan that can iteratively apply a regular iron to remove all the major wrinkles by a robot. We present a novel solution to analyze the cloth surface by fusing two surface scan techniques: a curvature scan and a discontinuity scan. The curvature scan can estimate the height deviation of the cloth surface, while the discontinuity scan can effectively detect sharp surface features, such as wrinkles. We use this information to detect the regions that need to be pulled and extended before ironing, and the other regions where we want to detect wrinkles and apply ironing to remove the wrinkles. We demonstrate that our hybrid scan technique is able to capture and classify wrinkles over the surface robustly. Given detected wrinkles, we enable a robot to iron them using shape features. Experimental results show that using our wrinkle analysis algorithm, our robot is able to iron the cloth surface and effectively remove the wrinkles.
Views: 39618 Yinxiao Li
This video accompanies the paper titled "Markerless Perspective Taking for Humanoid Robots in Unconstrained Environments" presented at IEEE International Conference on Robotics and Automation 2016
Views: 605 Tobias Fischer
1. Smart Medicine Box - Android Speaker app, 2. Smart Medicine Box - (Smart medicine-box for elderly people), 3. Smart Medicine Box - Cornell University, 4. Lively smart home system can monitor everything from pill boxes to, 5. Intelligent Medicine System Prototype of The Internet of Things - DiVA, 6. project smart pill box, 7. smart medicine box pdf, 8. electronic pill box project, 9. medicine reminder system project, 10. smart medicine cabinet, 11. Medicine Boxes at Amazon.in - Save on Medicine Boxes?, 12. Intelligent Packaging and Intelligent Medicine Box for - icact, 13. Smart Elderly Home Monitoring System with an Android Phone, 14. Smart Pill box, 15. Smart Medicine Box App, 16. Smart Medicine Box - For Blind, 17. 100+ Ultimate List of IOT Projects For Engineering Students, 18. 2016 - 2017 ieee Project list., 19. 2016 - 2017 IEEE Projects., 20. 2016 2017 IEEE PROJECT TITLES for CSE,IT, ECE, EEE., 21. 2016 Final Year Project Titles., 22. 2016 ieee Projects list., 23. 2016-2017 IEEE PROJECT TITLES for CSE,IT, ECE, EEE., 24. 22 Internet of Things(IoT) Courses to Help Build a Connected World, 25. 5 Awesome Internet of Things Project Ideas | element14 | Internet of, 26. A High Accuracy Vehicle Positioning System - ITS Institute, 27. Analytics of Things Training, 28. android controlled mobile robot - e-Archivo Principal - UC3M, 29. Android ieee projects 2016-2017., 30. Android latest final year project., 31. Automated Vehicle Location using Global Positioning Systems for First, 32. Automatic vehicle location - Wikipedia, 33. Autonomous Vehicle Positioning Systems, 34. Axelta IoT, 35. Axelta M2M, 36. B.Tech-Mechanical-Hardware- Major Projects - Krest Technology 37. Design of Vehicle Positioning System Based On ARM - IJMETMR, 38. ECE final year projects for B. Tech & M. Tech students- svsembedded, 39. Embedded System Final Year IEEE Project., 40. Final Year IEEE Projects | IEEE Projects., 41. Final year IEEE Projects., 42. Get new IOT Projects Ideas & Training, IEEE Internet Of Things (IoT), 43. Hyderabad M2M training, 44. IEEE 2016 Final Year Projects., 45. IEEE Final Year Project Topics and Ideas - Final Year Project Ideas., 46. IEEE PROJECTS - 2016., 47. IEEE Projects 2016., 48. IEEE Projects For ECE, EEE, EIE., 49. Internet of Everything India, 50. Internet of Everything, 51. Internet of Things India | Internet of Everything India | IoT - Axelta | Home, 52. Internet of Things India | Internet of Everything India | IoT - svskits, 53. Internet of Things India, 54. Internet of Things Platform, 55. Internet of Things Platform, IoT Platform, 56. Internet of Things Training | IoT Training | IoT Academy - Axelta, 57. Internet Of Things Training In Hyderabad | IOT Training In Hyderabad, 58. Internet of Things workshop, 59. Internet of Things(IoT) Training in Hyderabad | IoT Training - Orien IT, 60. Internet of Things, 61. Internet of Things, Best iot Training in Jaipur, Rasspberry PI, 62. IoT, 63. IoT Analytics Training, 64. IoT DIY Handbook | 2016 Overview of Projects, Ideas, and Tutorials, 65. IoT Hyderabad, 66. IOT India, 67. IoT Internet of Things Classroom Training in Ameerpet Hyderabad, 68. IoT Platform, 69. IOT Projects : Patient Health Monitoring System Using Raspberry Pi, 70. IoT Projects | Ideas and Example DIY Projects - Postscapes, 71. IOT Projects for B.Tech and M.Tech Engineering Students - ElProCus, 72. IOT Projects|Internet of things|IOT Projects in Bangalore, 73. IoT Training & Certification - Awarded Best Training Provider?, 74. IoT Training | Internet of Things Training | IoT Online Training, | IoT, 75. IoT Training Course, Best IoT Training Institute Hyderabad, India, 76. IoT training hyderabad, 77. IoT Training in Hyderabad | NobleProg India, 78. IoT Training Institutes in Hyderabad, 79. IoT using Raspberry Pi Project - Online Course - Skyfi Labs, 80. IoT using Raspberry Pi, 81. Latest 2016- 2017 IEEE Projects | 2016 Final Year Project Titles | ece , 82. Latest 2016- 2017 IEEE Projects., 83. Latest 2016-2017 IEEE Projects/2016 Final year Projects Titles/ece, 84. Latest IOT Projects For Engineering Students -2016 - Edgefx Kits, 85. Latest IOT Projects Ideas & Topics | NevonProjects, 86. Latest Robotic, Embedded Sytem B.tech final year Projects, 87. Machine-to-Machine training, 88. Online IOT Trainings, 89. Realtime Live Projects for B.Tech, M.Tech, Diploma, Masters (UK, US), 90. The Internet of Things - Free online course - FutureLearn, 91. Top 10 IoT Training Institutes in India – 2016 - Analytics India Magazine, 92. Training on Internet of Things, 93. Web of things, 94. World's Top 20 IoT Project Ideas for IoT Enthusiasts - Electronics For You,
Views: 60251 svsembedded
Shigeo Hirose, a renowned robot scientist, in his talk presents to us several interesting aspects of snake like robots. He particularly talks about how the principle of shu ha ri can be applied to snake like robots. With 40 years of experience on extreme work-type robots, Shigeo Hirose is an emeritus professor at TiTech and is also known for being the Chief Technology Officer at Hibot, a robotics company based in Tokyo.During his masters program at TiTech, he discovered the propulsive dynamics of snakes, which lead him to the invention of the world’s first snake-like robot. Other than that, he has also created robots that are four-legged, ones that go outer space for planetary explorations, demining robots and many more. Professor Hirose has been a game changing scientist in this field, receiving awards such as Medals of Honor (2006), The Josepth Engelberger Robotics Award (2009), the IEEE Robotics and Automation Award (2004), and a total of more than 70 awards during his career. Not only is he a great scientist, his work has reached out to many fields around the world, leading in the robotics industry that remain progressive in this era. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 653 TEDx Talks
IEEE North South Student Branch Robotics and Automation Society Organized a workshop on 12th December 2015. This is the first workshop of RAS. This workshop Instructed and Co-operated by Tahzib Mashrik, Baized Shuvo, Taki Uddin, Hasib Zunair and Tanvir. The focus on this workshop is to make autonomous wall follower robot. After the workshop a small competition held where the participants of the workshop participated. This workshop Powered by Robotech Shop.
Views: 56 baized shuvo
A laser is scanning an area where a bike is moving around. The bike is modeled as a stick with a turnable front wheel, and the filter tracks the angle of both the bike body and the turning wheel. In this way, the trajectory can be more accurately predicted, since the intention of the biker is seen from the front wheel motion. For more information and reference to this movie, use K Granstrom, C. Lundquist, F. Gustafsson, U. Orguner Random Set Methods: Estimation of Multiple Extended Objects IEEE Robotics and Automation Magazine, 2013 Karl Granström and Christian Lundquist, On the Use of Multiple Measurement Models for Extended Target Tracking Proceedings of the International Conference on Information Fusion, Istanbul, Turkey, July 2013.
Views: 180 Fredrik Gustafsson
"Online Trajectory Planning and Force Control for Automation of Surgical Tasks" Osa, T.; Sugita, N.; Mitsuishi, M. IEEE Transactions on Automation Science and Engineering.
Views: 157 Takayuki Osa
1. Iot Based Smart Farming in Smart Agriculture Monitoring System, 2. IOT Based Monitoring System in Smart Agriculture - IEEE Conference, 3. IoT Applications in Agriculture | IoT For All, 4. (PDF) Smart farming: IoT based smart sensors agriculture stick for live, 5. Crop monitoring and smart farming using IoT – GeeksforGeeks, 6. Smart Farming – Internet of Things Solutions for, - Softweb Iot, 7. IOT Based Smart Farming System (Computer/Electronics Project, 8. IoT in Agriculture: Five Technology Uses for Smart Farming and, 9. Smart Agriculture Using IOT, 10. Smart Farming | 2018 Guide to IoT Agriculture Applications, 11. AWS Internet of Things, 12. Smart farming | Wireless Monitoring Solution, 13. IoT Solutions for Agriculture | AggreGate Platform, 14. iot based smart agriculture monitoring system, 15. iot based smart agriculture pdf, 16. iot based smart agriculture ieee paper, 17. smart agriculture using iot pdf, 18. iot in agriculture pdf, 19. smart farming iot pdf, 20. iot in agriculture india, 21. iot in agriculture ppt, 22. IOT BASED SMART AGRICULTURE – SlideShare, 23. IoT based Smart Agriculture – IJARCCE, 24. IoT in Agriculture: 5 Technology Use Cases for Smart Farming (and 4, 25. Smart Agriculture System with IoT - Hackster.io, 26. An In-Depth Look At IoT In Agriculture & Smart Farming Solutions, 27. IoT Based Smart Farming Stick Using Arduino and Cloud Computing, 28. Solutions for Smart Farming - Agriculture IoT Solutions and Internet of, 29. IOT Based Monitoring System in Smart Agriculture - IEEE Computer, 30. Smart Farming: IoT in agriculture - IoT India Magazine, 31. IoT India Congress 2018 | 9th & 10th October , Bangalore, 32. Create your own IoT Solution | ICP DAS help you achieve, 33. IOT Based Smart Farming - Bacancy Technology, 34. Smart agriculture monitoring system using IoT | Lashitha Vishnu Priya, 35. IoT Based Agriculture Monitoring and Smart Irrigation System, - Irjet, 36. Iot Based Smart Agriculture Monitoring System – ijritcc, 37. Internet of Things Platform for Smart Farming: Experiences and, - MDPI, 38. Smart farming and smart agriculture solutions | ThingsBoard, 39. IoT in Smart Agriculture - Mobiloitte Blog, 40. IoT TECHNICIAN (SMART AGRICULTURE) - Directorate General of, 41. IoT Steps Up Smart Farming and Precision Agricu... | NASSCOM, 42. Smart Farming Solutions - How IoT transforms Agriculture Sector, 43. Agriculture Automation using Internet of Things-IJAERD, 44. iot based smart security and monitoring devices for agriculture, 45. internet of things based smart agriculture system using predictive, 46. smart agriculture monitoring system based on internet of things (iot), 47. IOT based Precision Agriculture – ijirset, 48. IoT-based smart farming system to help farmers save water, 49. IoT as a solution for precision farming - IoT Agenda, 50. IoT Solutions for Smart Farming, Farmers, Agriculture, Farmbots App, 51. smart farming using iot - IAEME Journals, 52. iot based smart farming system – JETIR, 53. IOT Based Monitoring System in Smart Agriculture - Semantic Scholar, 54. Internet of Things based Expert System for Smart Agriculture, 55. Internet of Things Now a Growing Trend in India's Agriculture | Internet, 56. IOT Based Smart Agriculture Monitoring System | Internet Of Things, 57. An IoT Based Smart Agriculture System with Soil Moisture Sensor – CIEM, 58. Iot based smart agriculture pdf - Gordon Sign, 59. Revolution in farming – IoT based smart farming – YourStory, 60. The possibilities of Internet of Things (IoT) for Agriculture | E-Agriculture, 61. IMPLEMENTATION OF SMART FARM MONITORING USING IOT, 62. SenzMate : IoT based smart farming solution, 63. Iot based smart security and monitoring devices for agriculture – IJIRR, 64. a survey on iot enabled expert system for smart agriculture, 65. Smart Agriculture in Nigeria With Iot; A Reality - American journal of, 66. Smart Agriculture Sensors | Mouser, 67. Smart Farming—Automated and Connected Agriculture, 68. IoT in Agriculture : Fujitsu India, 69. The IoT Marketplace - Smart Agriculture – Solutions, 70. Iot Based Smart Agriculture Monitoring System, 71. IoT Enabled Smart Farming, 72. Smart Agriculture Using IOT, 73. Smart Farming | 2018 Guide to IoT Agriculture Applications, 74. Smart Farming using IOT, 75. IOT Based Smart E Agriculture Monitoring on Webpage Motor, 76. IoT in Agriculture: Smart Farming Solutions | Telit, 77. IOT based crop field monitoring and irrigation automation - IOT Final, 78. IOT Based Agriculture Crop - Field Monitoring System and Irrigation, 79. IOT BASED DIGITAL FARMING, 80. eAgri - Smart Agriculture Demo, 81. Smart E-Agriculture Monitoring Using Internet Of Things, 82. Internet of Things (IoT) - SMART AGRICULTURE, 83. Agriculture IoT System, 84. Smart Farming: Wifi Based Agriculture Sensors (Temperature, 85. Smart Agriculture using IOT,
Views: 1733 svsembedded
Final Project for Industrial Automation 1. Using a TeachMover Robot Trainer and a Dremel with flex attachment a robot arm was programmed to drill a sequence of 4 holes into a cardboard box. Use of a wooden block was attempted but the robotic arm proved to not provide sufficient power to push the drill into the wood. approximately 26 programmed steps were used to achieve this project. This is a rough unedited version of the video. the video quality has not been sharpened or enhanced to date.
Views: 1492 NastySasquatch
Share on Facebook: http://on.fb.me/11mi0da DISCLAIMER: Surgical imagery depicted. Not for the easily squeamish! // Medical technology is getting weirder everyday -- in a good way. Robotic surgery and computer-assisted medicine are already doing amazing things right now -- just look at the da Vinci Surgical System! Are you ready to ditch the hospital and buy a robot surgeon for the home? Let's say you have to have a dangerous surgical procedure. Which would you choose? The best human surgeon alive today, or the best robot surgeon from 50 years in the future? Let us know your decision and why in the comments below! -------------------------------------------------------- Subscribe to Fw:Thinking: http://www.youtube.com/subscription_center?add_user=fwthinking For the audio podcast, blog and more, visit the Fw:Thinking website: http://www.fwthinking.com Fw:Thinking on Twitter: http://www.twitter.com/fwthinking Jonathan Stickland on Twitter: http://www.twitter.com/jonstrickland Fw:Thinking on Facebook: http://www.facebook.com/FWThinking01 Fw:Thinking on Google+: https://plus.google.com/u/0/108500616405453822675/ [TRANSCRIPT]: RoboCop, Robodog, Robo...doctor? Alright, medical technology is getting weirder by the day. But I mean that in a good way. Take the iKnife for example. It's a surgical knife that actually vaporizes tissue, and then analyzes the smoke that comes out so that a surgeon can know if she's cutting into cancerous cells, or healthy margins. Or what about mechanical leeches? They pretty much do what medicinal leeches do, only with less chance of a bacterial infection and a lot less...writhing. There's only so much improvement you can do to a tool before you eventually have to turn your attention to the hand that holds that tool. And that's where robotic surgery comes in. So do you remember the autonomous surgery pod in Ridley Scott's Prometheus? How far away are we from something like that? Well, not as far away as you might think. You see, robotic surgery and computer-assisted medicine are already doing amazing things right now. And the potential for what they could do in the future could change medicine forever! One of the most common surgical robots is the da Vinci line. Da Vinci is focused on translating a surgeon's control movements into direct action upon a patient. So every time a human moves, the robot moves. Unless of course a T-Rex happens to be walking by, in which case the robot actually filters out any of those little hand tremors. So that way you get pure control. No error. Another advantage of robot surgeons is the chance for telesurgery. So lets assume that you're some sort of futuristic penguin research scientist and you're on assignment off the coast of Antarctica, when suddenly you need an appendectomy. But your ship is completely trapped by ice and your ship's surgeon has been, I don't know, kidnapped by ice pirates or something. What do you do? Well essentially you Skype it in. A surgeon on the mainland sits down at a terminal and supervises robotically assisted telesurgery via satellite uplink. Another advantage is minimally invasive procedures. Now see traditional open surgery can leave big scars, they can take a long time to heal, and there's a lot of pain involved in recovery. But what if instead of making a four inch incision in your stomach, we were able to do the same procedure using instruments put through little half-inch holes. Now human doctors have been doing minimally invasive procedures for years, but honestly there's only so much human hands can do through these tiny holes in your skin. But robotic precision means those incisions have gotten smaller and smaller over time. And if we continue through this miniaturization rabbit hole, who knows? Maybe one day there'll be barely a notion of what an in-patient procedure is. Now the future for robotic surgery is wide open. Just take a look at what people have created with the Raven line. This is an open-source robotic surgeon and, sure, it looks like a couple of mechanical spider arms, but the important thing here is research. You see it creates a common platform for people to do experiments which will determine the future of robotic surgery. But beyond all that, instead of just talking about robotic assisted surgeries, lets talk about their full potential. We're talking autonomous robot surgeons. With machine learning, a robot surgeon could potentially study all the information from successful procedures in the past and apply that to learn how to do those procedures in the future. And if they prove to be as good or better than human surgeons, maybe we wouldn't even go to hospitals to have surgery. Instead if you expected to have a surgery, you might buy a robot surgeon for the home, or for the office, or for the spacecraft.
Views: 300280 Fw:Thinking
"Robotic Assembly of Emergency Stop Buttons," by Andreas Stolt, Magnus Linderoth, Anders Robertsson, Rolf Johansson, from Lund University, Sweden. Presented at 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan.
Views: 10580 IEEE Spectrum
MSI TEC partnered with Coca-Cola to produce the world's 1st & largest 3D Robotic Sign for Times Square in N.Y.. Get to know MSI Tec at http://msitec.com/. MSI TEC PROVIDES ENGINEERED SOLUTIONS & PRODUCTS: Engineered Robots / Collaborative Robots (Cobots) Automation & Motion Control Engineered Sub Assemblies Industrial Computers & Networking Universal Robots, Denso, Festo, Omron, Robotiq, Yaskawa
Views: 592 MSI TEC
Read about these projects here: https://etechnophiles.com/top-10-iot-internet-things-projects-can-make-2018/ Subscribe, for more such projects: https://www.youtube.com/channel/UCevlfy8fq9tYTx9T77LuLng Projects Link: 10. ARDUINO IOT ROBOTIC ARM http://www.instructables.com/id/Arduino-IoT-Robotic-Arm/ 9. IoT-Toy-Trafficlight http://www.instructables.com/id/IoT-Toy-Trafficlight-Spielzeugampel-/ 8.Raspberry Pi & Arduino Wooden Chess Computer https://www.youtube.com/watch?v=A6JDS3BiYXg 7. Wolf: IoT Multi-Terrain Quadruped http://www.instructables.com/id/Wolf-IoT-Multi-terrain-Quadruped/ 6. Electronic door lock https://speedysignals.com/2014/05/26/electronic-door-lock-evolution/ 5. IoT Motion Controlled Servos http://www.instructables.com/id/IoT-Motion-Controlled-Servos/ 4.Windows IoT: Facial Recognition Door https://www.hackster.io/windows-iot/windows-iot-facial-recognition-door-e087ce 3.DIY Life-Size Phone Controlled BB8 Droid http://www.instructables.com/id/DIY-Life-Size-Phone-Controlled-BB8-Droid/ 2.Mark Zuckerberg's AI- JARVIS https://www.youtube.com/watch?v=ZGLPxEv_EWo 1.Zelda Ocarina Controlled Home Automation https://www.youtube.com/watch?v=glZnkpIDWSE
Views: 1810842 THE ELECTRONIC GUY
In professional office cleaning business, floor cleaning and waste disposal account for 70% of the daily cleaning efforts. Within the research project AutoPnP a Care-O-bot 3 service robot has been enabled for doing these tasks completely autonomously. The video features all steps of the cleaning activities. First, the robot is inspecting the room for trash bins and dirty spots at the ground. Then the found trash bin is grasped, cleared into a collection bin and brought back. Following, an autonomous tool change between robot hand and vacuum cleaner is shown. The attached vacuum cleaner is then used to clean the ground. Publications: R. Bormann, F. Weisshardt, G. Arbeiter, and J. Fischer. Autonomous dirt detection for cleaning in office environments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 1252–1259, May 2013. R. Bormann, J. Hampp, and M. Hägele. New Brooms Sweep Clean – An Autonomous Robotic Cleaning Assistant for Professional Office Cleaning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May 2015. Further informationen: http://www.autopnp.com http://www.ipa.fraunhofer.de/en/robot_assistivesystems German version: https://www.youtube.com/watch?v=A_vaDIDyHJY&feature=youtu.be
Views: 11922 FraunhoferIPA
Many of the common concerns with giving blood – shaky needles, elusive veins -- may be eased in the near future, thanks to the latest robotic and imaging technologies. VascuLogic, a start-up supported by the NSF Small Business Innovation Research program, is bringing to market a device that aims to make the blood collection process safer and more efficient. The technology uses infrared and ultrasound imaging to identify veins. A robotically controlled needle is then guided into the targeted vein. The whole system is designed to benefit patients and phlebotomists alike. Learn more: vasculogic.com/
Views: 107433 National Science Foundation
Summary of paper titled "Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time" by Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, and Julie A. Shah. You can read the full paper here: http://interactive.mit.edu/human-aware-robotic-assistant-collaborative-assembly-integrating-human-motion-prediction-planning Citation: Unhelkar, V. V., Lasota, P. A., Tyroller, Q., Buhai, R. D., Marceau, L., Deml, B., & Shah, J. A. (2018). Human-aware robotic assistant for collaborative assembly: Integrating human motion prediction with planning in time. IEEE Robotics and Automation Letters, 3(3), 2394-2401.
Views: 639 InteractiveRobotics
Show with dancer Tayeb Benarama and the humanoid robot HRP-2 October 2012. For scientific details please look at https://hal.archives-ouvertes.fr/hal-012222387 Dancing Humanoid Robots: Systematic use of OSID to Compute Dynamically Consistent Movements Following a Motion Capture Pattern Oscar Efrain Ramos Ponce, Nicolas Mansard, Olivier Stasse Christophe Benazeth, Sovannara Hak, Layale Saab, IEEE Robotics and Automation Magazine, Institute of Electrical and Electronics Engineers, 2015, 22 (4), pp.16 - 26.
Views: 62 Olivier Stasse
Simulation of standard Position Based Visual Servoing - written in M-file MATLAB - assume ideal object pose estimation Chaumette, F., & Hutchinson, S. (2006). Visual servo control. I. Basic approaches. Robotics & Automation Magazine, .... Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4015997
Views: 735 Shawn Le
Zebedee is a handheld 3D mobile mapping system developed at CSIRO. The primary sensor is a 2D Hokuyo lidar scanner which measures the distances to surfaces in the environment (43200 samples per second). A simple spring mechanism is used to convert the natural motion of the operator into scanning sweeps that result in a 3D field of view. CSIRO's specialized software interprets the raw data to estimate the motion of the scanner and generate a 3D point cloud model of the environment. As seen in the video, the system is capable of large-scale mapping of a wide variety of environments ranging from built to natural scenes. Typically, the time it takes to map an environment is the time it takes to walk through it. For visualization purposes, the point clouds shown in this video contain only 9 percent of the points from the full point cloud. Publications describing the technology:  https://db.tt/lUIKVWXD or http://dx.doi.org/10.1109/TRO.2012.2200990 M. Bosse, R. Zlot, and P. Flick, "Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping", IEEE Transactions on Robotics, 28(5), October 2012.  https://db.tt/V31Qepgj or http://dx.doi.org/10.1109/ICRA.2013.6630945 M. Bosse and R. Zlot, Place Recognition Using Keypoint Voting in Large 3D Lidar Datasets, IEEE International Conference on Robotics and Automation (ICRA), May 2013. The datasets from the video are available at http://dx.doi.org/10.4225/08/5137014E577DC LiDAR News magazine article: http://www.lidarnews.com/PDF/LiDARMagazine_VariousAuthors-CSIRO_Vol2No4.pdf A New Scientist article (with video) describing a cave mapping trip: http://www.newscientist.com/article/mg21628954.700-in-search-of-the-worlds-oldest-cave-etching.html A previous video demonstrating Zebeede can be found at: http://youtu.be/Uj9BKcnXOyo Further information: http://wiki.csiro.au/display/ASL/Zebedee Music: Blue Lights by Beat Under Control (http://creativecommons.org/licenses/by-nc-sa/1.0)
Views: 101824 Robotics and Autonomous Systems Group CSIRO Data61
Tonight we will look at the disturbing trends of AI used in actual war machines. This and more tech news at 9:00 EST If you would like to support the channel, you can check out my Patreon page: https://www.patreon.com/TomM Merch: shop.switchedtolinux.com We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites. The following is the equipment used by Switched to Linux: Amazon Store - http://amzn.to/2oFr4Wa Logitech c920 - http://amzn.to/2nlUCXN Logitech c615 - http://amzn.to/2ohO7u6 Privacy https://www.cnbc.com/2018/04/05/facebook-building-8-explored-data-sharing-agreement-with-hospitals.html?__source=sharebar%7Ctwitter&par=sharebar https://www.theverge.com/circuitbreaker/2018/4/5/17202952/amazon-alexa-announcements-broadcast-every-echo https://arstechnica.com/science/2018/04/woman-takes-ancestry-com-dna-test-learns-her-real-dad-is-her-moms-doctor/ https://www.axios.com/exclusive-grindr-security-chief-on-hiv-disclosure-b5a64fdb-8c1d-4a08-a94e-67506d4a0d0b.html https://spectrum.ieee.org/automaton/robotics/home-robots/fribo-a-robot-for-people-who-live-alone https://www.abacusnews.com/digital-life/police-qingdao-tell-shops-and-restaurants-use-government-approved-wi-fi-router/article/2140455 Evil Tech https://www.theverge.com/2018/4/5/17202664/mindbody-system-outage-classpass-fitness-apps-down https://arstechnica.com/cars/2018/04/theres-growing-evidence-teslas-autopilot-handles-lane-dividers-poorly/ https://www.theverge.com/2018/4/3/17192002/ai-job-loss-predictions-forecasts-automation-oecd-report https://www.nytimes.com/2018/04/04/technology/google-letter-ceo-pentagon-project.html https://www.theverge.com/2018/4/4/17196818/ai-boycot-killer-robots-kaist-university-hanwha Bad Business https://arstechnica.com/tech-policy/2018/04/centurylink-fights-billing-fraud-lawsuit-by-claiming-that-it-has-no-customers/ https://www.usatoday.com/story/money/media/2018/04/02/sinclair-defends-itself-over-uproar-after-local-news-anchors-read-anti-false-news-screed/477531002/ http://www.businessinsider.com/amazon-closes-users-accounts-customers-fight-back-2018-4 https://www.azcentral.com/story/news/local/phoenix/2018/04/06/fbi-raids-backpage-founders-sedona-home-website-down/494538002/ Breech https://krebsonsecurity.com/2018/04/panerabread-com-leaks-millions-of-customer-records/ https://www.reuters.com/article/us-delta-air-cyber-24-7-ai/sears-holding-delta-air-hit-by-customer-data-breach-at-tech-firm-idUSKCN1HC089?utm_campaign=trueAnthem:+Trending+Content&utm_content=5ac5ab0004d3015b09b97dbd&utm_medium=trueAnthem&utm_source=twitter https://risnews.com/best-buy-hit-second-security-breach Really? https://arstechnica.com/tech-policy/2018/04/dhs-defends-media-monitoring-database-calls-critics-conspiracy-theorists/ https://arstechnica.com/tech-policy/2018/04/fcc-wont-reveal-the-secrets-behind-ajit-pais-anti-net-neutrality-dance-video/
Views: 473 Switched to Linux
1. Smart Home Automation & Security System Using Arduino, PIR Sensor and Camera with SMS Alert, 2. PIR Sensor and GSM Module Based Home Security System, 3. Arduino Burglar Alarm using PIR Sensor with SMS Alarm, 4. Design and implementation of modular home security system, 5. GSM Based Home Security Alarm System Using Arduino, 6. Microcontroller Based Home Security System Using GSM And PIR, 7. GSM Based Home Security System Working with Applications, 8. PIR Sensor and GSM Based Home Security System, 9. Security System Based GSM Module with PIR Sensor and Password, 10. Arduino Burglar Alarm using PIR Sensor with SMS Alarm, 11. Home security system using PIR sensor and GSM module, 12. gsm based home security system project, 13. arduino based security system using gsm & pir sensor, 14. gsm based home security system using Arduino, 15. gsm based home security system using arduino project report, 16. gsm based home security system project report pdf, 17. gsm based home security system ppt, 18. pir sensor and gsm based security system, 19. gsm based home security system project report doc, 20. PIR Sensor and GSM Based Home Security System using 8051, 21. PIR Sensor And GSM Based Home Security System - Pantech Solutions, 22. IOT based Raspberry Pi Home Security System with Email Alert using, 23. Home Based Security And Health Control System Using Raspberry Pi, 24. Home Automation and Security using Arduino Micro – International, 25. ARDUINO WIRELESS HOME SECURITY SYSTEM: 11 Steps, 26. arduino based home security using gsm-sms system, 27. arduino based security system using gsm & pir sensor, 28. gsm based home security system using arduino project report, 29. arduino home alarm system, 30. arduino based home security system pdf, 31. arduino security system code, 32. arduino burglar alarm text message, 33. arduino alarm system with keypad, 34. Arduino Based GSM Home Security System - Electronics For You, 35. ECE final year projects for B.Tech & M.Tech students | IEEE 2017, 36. Arduino GSM Home Security Alarm System Project – ElectroSchematics, 37. An Energy Efficient Sophisticated Security System for Surveillance, 38. Design and implementation of modular home security system with, 39. SMS based Home Security System using GSM Modem, 40. Arduino Based Security System using GSM & PIR Sensor, 41. security enhancement using motion detection – IJCSITS, 42. Smart Security for an Organization based on IoT - International Journal , 43. Automatic Home Appliances and Security of Smart Home with - IRJET, 44. Build a Wireless Home Security System With an Arduino – Lifehacker, 45. GSM based Android Application: Appliances Automation and Security, 46. Auto call JH09 WiFi 3G camera alarm,Infrared Motion Detector PIR, 47. Build Arduino Based Home Security System Using PIR Motion Sensor, 48. Jinmanze kablosuz 433 mhz ev hirsiz güvenlik sim sms gsm alarm, 49. PrivateEyePi - a DIY home alarm system - Raspberry Pi, 50. Smart Home Automation & Security System Using Arduino, PIR, 51. design and implementation of intelligent home using gsm network , 52. Development of Smart Farm Security System with Alarm Mechanism, 53. Embedded Systems Training - Episteme Soft Pvt Ltd, 54. B.TECH EMBEDDED MAJOR PROJECT BASED ON AVR , PIC , ARDUINO , ARM 7 , 55. An Active Information Display System using SMS based on ARM7 processor. , 56. Realtime Live Projects for B.Tech, M.Tech, Diploma, Masters (UK, US , 57. ieee projects 2014 embedded - IEEE projects in pondicherry,IEEE, 58. An Energy Efficient Sophisticated Security System for Surveillance , 59. Smart Home Automation System using Raspberry Pi – International, 60. Home Automation And Security Using GSM Modem With SMS; Remote, 61. Micro Controller | Embedded Micro Controller Projects in Tirupati, 62. Real Time Algorithm for the Smart Home Automation Based on the, 63. Projects at Bangalore,ECE Projects in Bangalore, 64. Building a Raspberry Pi Motion Sensor with Realtime Alerts | PubNub, 65. embedded IEEE PAPERS LIST_2015-2016 embedded PROJECTS ,
Views: 34850 svsembedded
This Ground Robot is developed by a team of undergraduate and graduate students at ACCESS Laboratory, TECHLAV Center. The team attended the IEEE SoutheastCon 2016 Hardware Competition. The developed robot simulates a smart port system to manage routing and transportation of the goods at a cargo port. This robotic system will automatically detect and identify different shipping containers and goods on a barge which are strategically placed in a harbor field. Correct shipping goods then will be picked up and transported to the correct shipping zone, to be further transported by a boat, by rail or by truck.
Views: 209 ACCESS LABORATORY
Unmanned ground, aerial, and marine vehicles have been used at over 46 disasters since 2001 and offer the potential to transform emergency response, recovery, and prevention. However, disaster robotics is not really about robots but more about the data that they provide. This webinar will introduce participants to the phases of disaster response and summarize the missions where unmanned systems have been used. The remainder of the webinar will be divided into two parts. One part will discuss computing challenges for increased intelligent control of the platforms, describing the missions for which autonomous capabilities appear the most useful. Intelligent control also involves advances in human-robot interaction as human error was responsible for 50% of the mission-terminating failures reported between 2001 and 2013. The second part of the webinar will discuss the emergency informatics challenges of extracting, delivering, displaying, and supporting analytics of relevant information. For example, the 2015 Memorial Day weekend floods in Texas illustrate the extreme scales associated with even “small” disasters. The flooding in the Blanco River region, one of four major regions impacted, spanned four counties and 412 miles2. Over 20 local and state agencies were involved, plus an equal number of search teams with small UAVs. A single 20-minute UAV flight produced roughly over 800 images totaling 1.7GB. There were over a dozen platforms flying daily for two weeks as well as Civil Air Patrol and satellite imagery. The primary data source for situation awareness and for searching was imagery, highlighting the need for computer vision. By the end of the webinar, participants should have a high level understanding of what really goes on at a disaster, how robots and computing are being used, and the open research questions for unmanned systems and computer science in general. Presenter: Robin R. Murphy, Texas A&M University; Recipient of 2014 ACM Eugene L. Lawler Award Robin R. Murphy is Raytheon Professor of Computer Science and Engineering at Texas A&M University and directs the Center for Robot-Assisted Search and Rescue (CRASAR). She received a B.M.E. in mechanical engineering, a M.S. and Ph.D in computer science in 1980, 1989, and 1992, respectively, from Georgia Institute of Technology. She has over 150 publications on artificial intelligence, human-robot interaction, and robotics including the Introduction to AI Robotics and Disaster Robotics, which won the 2014 PROSE honorable mention for engineering and science writing at the American Publishers Awards. An IEEE Fellow and a founder of Roboticists Without Borders, she has worked in disaster robotics research and deployment since 1995. Murphy has inserted ground, air, and marine robots at 19 disasters world-wide including the 9/11 World Trade Center disaster, Hurricane Katrina, and the Fukushima Daiichi nuclear accident. Her numerous professional awards include the Motohiro Kisoi award (Japan), the AUVSI Foundation Al Aube award, and the 2014 ACM Eugene L. Lawler Award for Humanitarian Contributions Within Computer Science and Informatics. She has been declared an “Innovator in AI” by TIME, an “Alpha Geek” by WIRED Magazine, one of the “Most Influential Women in Technology” by Fast Company, and one of the Top 25 Doers, Dreamers and Drivers for 2015 by Government Technology Magazine. Moderator: Ani Hsieh, Drexel University M. Ani Hsieh is an Associate Professor in the Mechanical Engineering & Mechanics Department at Drexel University. She received a B.S. in Engineering and B.A. in Economics from Swarthmore College in 1999 and her Ph.D. in Mechanical Engineering from the University of Pennsylvania in 2007. Her current work in the Scalable Autonomous System Laboratory at Drexel University focuses on bridging the gap between geophysical fluid dynamics, nonlinear dynamics and control, and distributed multi-agent robotic systems. She is the recipient of a 2012 Office of Naval Research (ONR) Young Investigator Award and a 2013 National Science Foundation (NSF) CAREER Award.
Views: 821 Association for Computing Machinery (ACM)
William Lumpkins is an IEEE Senior Member, IEEE 1874 Working Group Chair, IEEE Consumer Electronics Society Standards Chair, IEEE Consumer Electronics Society Magazine Associate Editor, here he talks about Artificial Intelligence in the home, Japanese Tech culture/marketing, Tech politics and more.
Views: 378 Charbax