Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

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 ...

Robotic manipulation of deformable objects addresses the complexities of interacting with items that change shape under force, such as cables, textiles, biological tissues and foodstuffs. Unlike rigid ...

Stuttgart – Researchers from the Max Planck Institute for Intelligent Systems (MPI-IS), the University of Michigan, and Cornell University have demonstrated a breakthrough in microrobotics: swarms of ...

PSYONIC turns its FDA-cleared bionic hand into a data engine, feeding ABB and NVIDIA robots the human dexterity data physical ...

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 ...

Engineers show that robotic hands can learn complex object manipulation without touch—redefining the role of sensory feedback in machine and biological learning. How does a robotic arm or a prosthetic ...

Along with various other companies in the brain-computer interface (BCI) technology, Elon Musk's Neuralink and Bill Gates-backed Synchron have been pioneering the development of brain chips. These ...

(Nanowerk Spotlight) Optical trapping and manipulation of micrometer-sized particles was first reported in 1970. Since then, it has been successfully implemented in two size ranges: the nano- and ...

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 ...