Page 2: 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

Six-legged robot learns to walk from a stick insect

Do you ever see an ant skittering across your kitchen counter and wonder how this little bug overcame all the obstacles in your home just to get there? Insects use their tiny nervous systems to walk with surprising dexterity—a ...

Robotics

Simple robot design exceeds human hand in some core motions

The human hand is a dexterous and versatile machine. Scientists have conventionally tried to replicate these traits in robots by copying the biological mechanics of the hand, resulting in complex and difficult-to-control ...

Robotics

Porous 3D-printed feet cut quadruped robot power use

Quadruped robots, which walk on four legs, are increasingly used for tasks such as inspection, transportation and search-and-rescue operations. However, their repeated leg movements consume far more energy than the rolling ...

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