Page 7: 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.

Software

This digital hand enables hands-free virtual reality

A digital, voice-controlled hand could improve the convenience and accessibility of virtual and augmented reality by enabling hands-free use of games and apps. The prototype software was developed by computer scientists at ...

Electronics & Semiconductors

Tiny explosions and soft materials make onscreen braille more robust

From texting on a smart phone to ordering train tickets at a kiosk, touch screens are ubiquitous and, in most cases, relatively reliable. But for people who are blind or visually impaired and use electronic braille devices, ...

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