Robotics
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System could help prevent robots from overwhelming human teammates with information.
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Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems.
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Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
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Robots’ maps of their environments can make existing object-recognition algorithms more accurate.
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At the recent International Conference on Robotics and Automation, MIT researchers led by Daniela Rus, the Andrew and Erna Viterbi Professor in MIT’s Department of Electrical Engineering and Computer Science, presented a printable origami robot that folds itself up from a flat sheet of plastic when heated and measures about a centimeter from front to back. Read more.
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DARPA Robotics Challenge MIT Team leader Russ Tedrake reports on the real win in the team's sixth placement in last week's competition. The team not only won the overall best-paper award at the 2014 International Conference on Humanoid Robots, but they also accomplished research that will have huge near and longterm payoffs. Read more.
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The MIT DARPA Robotics Challenge Team led by Professor Rus Tedrake reached new heights in the June 5-6 international DARPA Robotics Challenge in Pomona California, as they nimbly programmed their Atlas robot to perform a wide range of tasks in one hour. The goal of the event was to develop mobile robots to perform useful tasks in disaster-relief situations — in response to the 2011 Fukushima nuclear disaster. Read more.
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EECS graduate students Andrew Spielberg and Stuart Baker, and postdoc Mehmet Dogar with EECS Professor and Director of the Computer Science and Artificial Intelligence Lab (CSAIL) Daniela Rus have developed a new algorithm that significantly reduces the time it takes for several robots to plan and execute a task. Read more.
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A computer vision enabled technology developed by a team of EECS faculty Bill Freeman and Frédo Durand and their students is enabling a new way to identify structural defects in objects. The group will report this latest work at the Conference on Computer Vision and Pattern Recognition in June. Read more.
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