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.

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How much can an autonomous robotic arm feel like part of the body?

When AI-powered prosthetic arms that move autonomously become widespread, understanding how people feel about them and accept them will be crucial. In a study appearing in Scientific Reports, scientists used virtual reality ...

Robotics

Open-source modular robot for understanding evolution

What is it about a cheetah's build that enables it to run so fast? What gives the wolf its exceptional endurance? While these questions can be partly answered through animal experiments, many contributing factors can't be ...

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