Robots dress humans without the full picture
MIT researchers design a robot that has a trick or two up its sleeve.
MIT researchers design a robot that has a trick or two up its sleeve.
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.
Motion-planning algorithms allow drones to do donuts, figure-eights in object-filled environments.
CSAIL team just misses winning the grand prize after programming a 400-lb humanoid robot to lift beams, climb stairs, and drive a car.
New algorithms could help household robots work around their physical shortcomings.
New algorithms allow an autonomous robotic plane to dodge obstacles in a subterranean parking garage, without the use of GPS.
Algorithms enable robot to navigate and view propellers and other complex structures.
Semiautonomous system takes the wheel to keep drivers safe.
A combination of two algorithms developed at MIT allows autonomous robots to execute tasks much more efficiently — and move more predictably.