fbpx

Interlocking AIs let robots pick and place faster than everBy: Devin Coldeweyon November 18, 2020 at 7:01 pm Publication: TechCrunch

One of the jobs for which robots are best suited is the tedious, repetitive “pick and place” task common in warehouses — but humans are still much better at it. UC Berkeley researchers are picking up the pace with a pair of machine learning models that work together to let a robot arm plan  Read More>>

Categories   Artificial Intelligence, Gadgets, Hardware, Robotics, Science, TC, Berkeley, uc-berkeley

YouTube
LinkedIn
LinkedIn
Share