The pattern of reaching biases is stable across contexts and can be attributed to a misalignment between eye-centric and body-centric representations of position.

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

In the years to come, robots will help offset worker shortages in health care, manufacturing and other industries, experts ...

The cobot feeder includes a storage and retrieval assembly with a UR force- and power-limited robot pedestal, enclosed steel ...

Whether we like it or not, AI is responsible for much of what makes modern robot vacuums so autonomous.

China’s push into humanoid robots is accelerating, with domestic firms shipping more units and iterating faster than U.S.

The rivalry between Hyundai Motor Co. and Tesla is intensifying amid the rise of ...

Andrew Singletary and Amir Sharif discuss the evolution of the 3Laws technology from academic research to practical ...

A new approach to simulating biologically inspired robotics can cut the design and training of tactile robots from eighteen months to two weeks, new research suggests. Published in Cyborg & Bionic ...