Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents.

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Deformable object manipulation in robotics is an increasingly critical research area, addressing the challenge of handling materials that do not maintain a fixed shape under manipulation. Unlike rigid ...

Our current understanding of manipulation is based on primate hands, resulting in a detailed but narrow perspective of ways to handle objects. Although most other animals lack hands, they are still ...

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Researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset -- the largest and most diverse of its ...

Researchers headed by a team at Virginia Polytechnic Institute and State University have developed a robot-assisted surgical technique that uses acoustic vortex tweezers to capture and move small ...

Scientists summarize, compare and contrast research in learned robot manipulation through the lens of adaptability and outline promising research directions for the future. What if a robot could ...

Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

When robotic hands — traditionally designed to perform perfectly precalculated steps — are programmed by the Yale GRAB Lab to continuously alter their grip, fidgeting promotes adaptability to the ...

Apple is researching technology to allow an "Apple Glass" user to not be constrained to fixed physical gestures or touch controls, and instead manipulate any object to alter what is visible on the ...