Intelligent Towing Tank propels human-robot-computer research
A novel experimental facility integrates automation and active learning, illuminating a path to accelerated scientific discovery.
A novel experimental facility integrates automation and active learning, illuminating a path to accelerated scientific discovery.
Cornell University professor and physicist uses nanoscale parts to create smart, active microbots.
Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Its extendable appendage can meander through tight spaces and then lift heavy loads.
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
New control system may enable humanoid robots to do heavy lifting and other physically demanding tasks.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.