Page 13: Research news on Autonomous robotic locomotion

Autonomous robotic locomotion investigates how robots perceive, plan, and execute movement in complex, often unstructured environments with minimal human intervention. Work in this area spans legged, wheeled, aerial, amphibious, and soft robots, emphasizing bio-inspired control strategies, neuromechanics, and learning-based methods for gait adaptation, trajectory modulation, and slip prevention. Research also addresses navigation and mapping, kinematic and impedance control, and human–robot collaboration, enabling robots to perform tasks such as construction, waste collection, manipulation, and agile behaviors like parkour, badminton, and swarm-based assembly.

Robotics

Video-based AI gives robots a visual imagination

In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots "envision" their actions ...

page 13 from 39