Page 18: 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.

Engineering

'Countersnapping' structures shrink when pulled

When you pull something—like a rubber band—you expect it to get longer. But what if it did the opposite? What if it suddenly shrank instead? In a study published in Proceedings of the National Academy of Sciences, researchers ...

Robotics

Robot see, robot do: System learns after watching how-to videos

Cornell University researchers have developed a new robotic framework powered by artificial intelligence—called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution)—that allows robots to learn tasks by watching ...

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