Robots may be able to walk smoother than ever, with the use of an existing psychological theory about how humans react to the world. Researchers at the University of Manchester have explored the use ...

A University of Texas at Dallas professor applied robot control theory to enable powered prosthetics to dynamically respond to the wearer's environment and help amputees walk. In research available ...

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to ...

Humanoid and bipedal robot control systems represent a dynamic confluence of robotics, control theory and artificial intelligence. These systems are designed to enable robots to navigate complex ...

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 ...

Control theory is the study of how one can use feedback to modify the behavior of a system — such as a robot, vehicle, chemical or biological process, power grid, stock portfolio, or an ecosystem — so ...

Modern PLCs now have enough processing power to handle complex robot calculations that previously required separate proprietary controllers and programming ...