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 ...

Figure Helix 02 targets long-horizon chores under one neural network; 1,000+ training hours support tight-space movement and ...

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 ...

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 ...

Researchers have commanded swarms of magnetic microrobots to manipulate, rotate, and assemble objects without ...

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 ...

Imagine you want to carry a large, heavy box up a flight of stairs. You might spread your fingers out and lift that box with both hands, then hold it on top of your forearms and balance it against ...

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 ...