This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.

Participants learn how laser “fingerprinting” can help identify materials in fields ranging from law enforcement to art restoration.

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.

In 16.85 Autonomy Capstone (Design and Testing of Autonomous Vehicles), AeroAstro students build software that allows autonomous flight vehicles to navigate unknown environments.

An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.

MagMix, an onboard mixing device, enables scalable manufacturing of 3D-printed tissues.