Page 3: 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

Training four-legged robots as if they were dogs

Over the next decades, robots are expected to make their way into a growing number of households, public spaces, and professional environments. Many of the most advanced and promising robots designed to date are so-called ...

Hi Tech & Innovation

What a virtual zebrafish can teach us about autonomous AI

Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset path, Zoe and Shira leap, play and investigate the house with real autonomy.

page 3 from 25