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 ...

The ability to manipulate objects using physical tweezers is essential in fields such as physics, chemistry, and biology. However, conventional tweezers often require complex electrode arrays and ...

A new learning system improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Advances in machine learning have given rise to a range of robotics ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Few fields have been more thoroughly transformed by artificial ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

MIT 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 ...

(Nanowerk News) MIT 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 ...