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MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

In order to solve the problems of low operational efficiency, high operational danger and uneven quality of manual work in ship wall maintenance operations, a wall-climbing and obstacle-crossing robot ...

Researchers researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous ...

BCI robotic hand control reaches new finger-level milestone Robotic systems have the potential to greatly enhance daily living for the over one billion individuals worldwide who experience some ...

Robotic systems have the potential to greatly enhance daily living for the over one billion individuals worldwide who experience some form of disability. Brain-computer interfaces or BCIs present a ...

This letter presents a cooperative mechanism for capturing a fast evader in a 2D space with obstacles, using a multi-robot system with a positive capture radius. First, we define the dominance region ...