A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

As cities continue to expand, railways are expected to become an important component of urban mobility systems. Compared with ...

Researchers at the University of California, Berkeley, have created a versatile control system for humanoid robots to adeptly navigate a variety of terrains and obstacles. Drawing inspiration from the ...

A Japanese semiconductor plant shows how autonomous control based on artificial intelligence is becoming reality. As process control technologies advance, one concept gaining prominence is autonomy.