Robotics
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Computer Science and Artificial Intelligence Lab's Leslie Kaelbling, the Panasonic Professor of Electrical Engineering and Computer Science in collaboration with members of her research group the Learning and Intelligent Systems Group have developed a new way to use "multiagent systems" to allow for teams of robots to accomplish tasks requiring flexibility and communication in uncertain environments. Read more.
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Marvin Minsky, a faculty member in the MIT Electrical Engineering and Computer Science since 1958 and co-founder (in 1959) of the Artificial Intelligence Lab (now the Computer Science and Artificial Intelligence Laboratory), has been recognized the the BBVA Foundation for his lifetime achievements in establishing the field of artificial intelligence as well as his contributions to mathematics, cognitive science, robotics and philosophy.
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EECS Department Head Anantha Chandrakasan announced today the appointment of Professor Daniela Rus as the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science. The Chair was established in 1999 by Andrew and Erna to recognize significant contributions in the field of communications and signal processing. Prof. Ronald Rivest was the first chair holder of the Viterbi Professorship. Read more.
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Self-assembling robots were dismissed even by Daniela Rus, professor of computer science and engineering and director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), until she worked again with former MIT EECS senior John Romanishin, now a research scientist in CSAIL and the one who was convinced (since his undergraduate days) that it could be done. They will present their work on the new self-propelled robots at the IEEE RSJ International conference on Intelligent Robots and Systems. Read more.
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Rodney Brooks, iRobot co-founder and Chairman and CTO of Rethink Robotics, was recently featured in the MIT News Office — following the selection by Technology Review of Rethink Robotics as one of 50 Disruptive Companies 2013. Founded by Brooks in 2008, Rethink Robotics is stocking manufacturers with easily taught assembly-line capable robots that can work safely alongside humans.
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Three CSAIL roboticists have been named to IEEE Intelligent Systems' 2013 list of "AI's 10 to Watch", which celebrates 10 rising stars in the field of artificial intelligence (AI). The CSAIL members named to the list are: Nora Ayanian, Finale Doshi-Velez and Stefanie Tellex.
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New research to be presented at the 2013 SIGGRAPH computer graphics conference could transform field of 3-D printing. Read about the work of EECS/CSAIL Professor Wojciech Matusik and his group to simplify the software that drives the 3D printing of multi-material objects. July 25 article by Abby Abazorius, CSAIL.
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Building tomorrow's robots that can handle changing environments and unknowns will require designing a system that constantly calculates these uncertainties. EECS professors and principal investigators with the Computer Science and Artificial Intelligence Lab (CSAIL) Leslie Kaelbling and Tomas Lozano Perez have recently submitted their work on this area of artificial intelligence for publication in the International Journal of Robotics Research.
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Professor Russ Tedrake and members of his research group, the Robot Locomotion Group, have tackled a difficult problem in robotics: how to mathematically allow for all instances of robot limbs touching (or striking) another surface in conjunction with free space motions. Tedrake and members of his group will be presenting their work in April at the Hybrid Systems: Computation and Control conference. The paper titled "A Direct Method for Trajectory Optimization of Rigid Bodies Through Contact" has been short listed for the best paper category.
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At this year’s IEEE International Conference on Robotics and Automation, students in the Learning and Intelligent Systems Group at MIT’s Computer Science and Artificial Intelligence Laboratory will present a pair of papers showing how household robots could use a little lateral thinking to compensate for their physical shortcomings. EECS senior and SuperUROP student Annie Holladay has designed an algorithm that allows a robot to use both hands to avoid the bad, error-prone track so that it can successfully place an object in what might be up to a 16-dimensional space.
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