MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Researchers at U.C. Berkeley are revolutionizing humanoid robots with an AI that optimizes its behavior to tackle real-world scenarios.

Most robots rely on complex control systems, AI-powered or otherwise, that govern their movement. These centralized electronic brains need time to react to changes in their environment and produce ...

Sarcos recently put the advanced teleoperation control system, including the SenSuit motion capture controller, and Guardian XT robotic system, to work in a live tree-trimming demo at its ...

However, NEC has developed “risk-sensitive stochastic control technology” (*) that can control autonomous mobile robots and meet safety demands.