Page 7: 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

A stair-climbing robot that catches itself when it falls

SUTD researchers have developed a reinforcement-learning-based safety system that teaches a stair-traversing service robot to brace itself mid-fall, addressing one of the biggest barriers to deploying autonomous robots on ...

Robotics

AI listens to insect body signals to guide cyborg cockroaches

Cyborg insects have long been studied as bio-hybrid systems that combine living organisms with small electronic devices. These systems may one day support tasks such as disaster search and rescue, environmental monitoring, ...

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