If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.

ABB Robotics is collaborating with California bionics company, PSYONIC, to advance robotic gripping and dexterity using a new ...

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 ...

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

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

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 ...

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 ...

Lightweight Five-Camera System Balances the Data Requirements of Leading Research Labs With the Comfort and Usability ...

Add Yahoo as a preferred source to see more of our stories on Google. Cornell University researchers have introduced a new AI-powered framework that makes robots better at learning tasks. It’s called ...

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

China’s robot schools are training humanoids through repetition, VR-guided demonstrations, and shared data to prepare them for real-world work.

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 ...