MIT researchers “speak objects into existence” using AI and robotics The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
System developed by researchers at MIT CSAIL and LIDS uses rigorous mathematics to ensure robots flex, adapt, and interact with people and objects in a safe and precise way. It helps robots remain flexible and responsive while mathematically guaranteeing they won’t exceed safe force limits.
MIT researchers at the School of Architecture and Planning developed a speech-to-reality system that combines generative AI, natural language processing, and robotic assembly to fabricate physical objects from spoken prompts.
MIT researchers developed an aerial microrobot that can fly with speed and agility comparable to real insects. The research opens the door to future bug-sized robots that could aid in search-and-rescue missions.
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 ...
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.
