Page 5: 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

What AI taxis and robots can learn from bees

Even advanced technology can struggle when the real world becomes unpredictable. In April 2026, a Waymo robotaxi in San Antonio, Texas, drove into a flooded lane during severe weather, prompting the company to recall about ...

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