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 ...

Researchers at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT have unveiled Feature Fields for Robotic Manipulation (F3RM), a ground-breaking system that enables robots to ...

Robots are often limited by the very components that power them. Traditional electric motors provide strength and precision, ...

"Ancient Japanese Art Brings Spineless Robot To Life!" Sounds very much like a movie plot summary. In reality, it perfectly ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Within seconds of the onset of an earthquake, when life or death hung in the balance in every second, such a robot could very well be the difference between the two. This is no science fiction fantasy ...

Robots-to-goods has the potential to become the future of warehouse automation, as a technology set to define the category.

A new system helps robots navigate homes they’ve never seen before with a little help from open-source AI models. Robots are good at certain tasks. They’re great at picking up and moving objects, for ...

After testing dozens of robot vacuums at CNET Labs to see how well they clean and avoid obstacles, we discovered an unusual relationship. Ajay has worked in tech journalism for over a decade as a ...