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

A mathematical framework for optimizing robotic joints

Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together by ligaments that not only swing like a door, but also roll and glide over each other, allowing ...

Robotics

Training four-legged robots as if they were dogs

Over the next decades, robots are expected to make their way into a growing number of households, public spaces, and professional environments. Many of the most advanced and promising robots designed to date are so-called ...

Engineering

Origami-inspired ring lets users 'feel' virtual worlds

Virtual reality (VR) and augmented reality (AR) are technologies that allow users to immerse themselves in digital worlds or enhance their surroundings with computer-generated filters or images, respectively. Both these technologies ...

Robotics

Handy robot can crawl and pick up objects from multiple angles

Like something out of the Addams Family, scientists have created a detachable robotic hand that can crawl and grab objects. The design enables tasks such as retrieving objects beyond normal reach and performing multi-object ...

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