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

Magnetic coil setup guides microrobots without seeing them

SMU researchers have created an electromagnetic coil system that can control microrobots without requiring continuous visual tracking of their position—a significant advancement that could enable microrobots to operate inside ...

Consumer & Gadgets

Sonar on stock smartwatches leads to hand-tracking advancement

Imagine tapping your thumb and index finger together twice to skip to the next song or clicking around your laptop or desktop computer without a mouse, using discreet finger motions. New first-of-its-kind wearable technology ...

page 1 from 18