Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line. In the basement of MIT's Building 3, a robot is carefully contemplating its next move ...

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by [Ni… ...

As engineers increasingly turn to machine learning methods to develop adaptable robots, new work makes progress on safety and performance guarantees for robots operating in novel environments with ...

Cartken started seeing an influx of demand for its last-mile delivery robots from industrial customers and is now focused on ...

Kindred AI is teaching robots new tasks using human virtual-reality “pilots.” The ultimate goal is to create a new kind of artificial intelligence.

1. ABB’s YuMi IRB 14000 is a collaborative, dual-arm, small parts assembly robot. Safety functionality built into YuMi makes it possible to remove barriers to collaboration—there’s no longer ...

Their approach is to use GPU-enabled machine learning to give humans better control of remotely operated robots. If robots can be remotely controlled with more precision, they could be used for ...

Unity Technologies has linked its game engine to machine learning software, ... Unity’s ML-Agents might enable more small-time robot and robot-car developers, too.

OSU’s Guinness World Record-setting robot makes strides for machine learning By Gemma DiCarlo ( OPB ) Oct. 3, 2022 4:55 p.m. Updated: Oct. 17, 2022 7:38 p.m.

Researchers from AMOLF's Soft Robotic Matter group have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected these simple robots ...

The first robot to sink an impressive hole-in-one pulled off its fairway feat back in 2016. But the newest automated golfer looks like it’s coming for the short game.