Page 15: 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

Scientists develop dog-inspired robot that runs without motors

Scientists from TU Delft and EPFL have created a quadruped robot capable of running like a dog without the need for motors. This achievement, a product of combining innovative mechanics with data-driven technology, was published ...

Engineering

Soft, air-filled 'muscles' power a new robotic exosuit

The phrase "robotic exosuit" likely calls to mind something metallic, rigid, and hinged—Iron Man's suit or the dozens of other, similar apparatuses that appear on screen, in video games, and even on the red carpet.

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