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We address fundamental problems in designing more capable robots and controlling them to interact intelligently with people, the environment and each other.
Robotics website -
MIT researchers’ new system optimizes the shape of robots for traversing various terrain types. -
MIT study shows the power of adaptive training tools, like a basketball hoop that shrinks and raises as you make shots. -
Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say. -
New approach could spark an era of battery-free ocean exploration, with applications ranging from marine conservation to aquaculture. -
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters. -
Realtime Robotics has created a controller that helps robots safely move around on the fly. -
This summer has seen three new career development chairs appointed within the EECS faculty: Kevin Chen, Jonathan Ragan-Kelley, and Mengjia Yan. Meet the new chairs here. -
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Teaching assistants in Robotics: Science and Systems pulled out all the stops to help engineering students race across the finish line this spring. -
Augmented reality (AR) and virtual reality (VR) companies have been working for years on developing systems that can incorporate real-life objects into their digitized worlds. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Lab has developed a smart glove that can detect your hand pose, as well as distinguish between more than 30 different household objects. -
Made of silicone rubber, CSAIL’s “SoFi” could enable a closer study of aquatic life. -
The CSAIL director is being recognized for her pioneering work in robotic systems. -
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars. -
Balakrishnan and Rus join nine other MIT professors admitted to the prestigious honor society. -
Robotics Industry Association recognizes professor's leadership as a researcher, innovator, and educator. -
Professors Thomas Heldt, Aleksander Madry, Daniel Sanchez, and Vivienne Sze are promoted to the rank of Associate Professor without Tenure, effective July 1, 2017. -
Senior Sarah Hensley aims to improve Earth's most advanced humanoid robot, in advance of its trip to the Red Planet. -
System could help prevent robots from overwhelming human teammates with information. -
Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems. -
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden. -
Robots’ maps of their environments can make existing object-recognition algorithms more accurate. -
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. -
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. -
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. -
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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