Research news on Embodied robotic manipulation

Embodied robotic manipulation investigates robotic and prosthetic limbs that physically interact with the environment using human-like, adaptive control. Work in this area integrates soft robotic structures, tendon-driven and biohybrid actuators, and exoskeletons with rich multimodal sensing, including vision, tactile, and proprioceptive feedback. Machine learning methods such as imitation learning, reinforcement learning, and meta-learning are used to acquire dexterous skills, enable shared and autonomous control, and support intuitive human–robot interaction through haptic interfaces, brain–computer interfaces, and teleoperation systems.

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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