A robot that performs well in a controlled simulation can struggle when real-world conditions don't match what it was trained ...

Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different ...

Trainee Lightning Wakute operates a robotic welding arm while Eileen DeCora watches at Nebraska Innovation Studio. (Ani Schutz/Silicon Prairie News) A new industry-certified training program supported ...

The Genesis Project represents a significant leap forward in the convergence of generative AI and physics simulation, reshaping the way robots are trained and developed. By integrating innovative ...

What if robots could learn to handle objects without watching humans? The new way training data is created can shape what robots learn.

As Californian companies race to manufacture and deploy thousands of humanoid robots in the coming year, another new class of ...

The German robotics company plans to ramp production to millions of robots by 2030 and expand its real-world AI training ...

Universal Robots (UR) today unveiled the UR AI Trainer at GTC 2026 in Silicon Valley. Developed in collaboration with Scale AI, the AI Trainer marks a tectonic shift as robots move from pre-programmed ...

AI is upending the way robots learn, leaving companies and researchers with a need for more data. Getting it means wrestling with a host of ethical and legal questions. Since ChatGPT was released, we ...

Atlas robot learns soccer skills by watching World Cup footage, then practices moves in real-time using advanced AI training and proprioception sensors.