New control system teaches soft robots the art of staying safe MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits. December 2, 2025 Read full story
Google DeepMind's new AI models, built on Google's Gemini foundation model, are making robots fold origami and slam dunk tiny basketballs. Gemini Robotics can interpret and act on text, voice, and ...
When applied to fields like computer vision and robotics, the next-token and full-sequence diffusion models have capability trade-offs. Next-token models can spit out sequences that vary in length.
A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL researchers, combines 3D scene reconstruction with embodied representation and closed-loop control.
Ground Control Robotics is revolutionizing agriculture with bioinspired centipede robots! These wiggly wonders tackle complex terrains, offering a cost-effective solution for weed control in ...
Isaac Asimov's Three Laws of Robotics have long guided discussions on robot ethics. As AI advances, a proposed Fourth Law aims to prevent AI deception by requiring robots and AI to identify ...
