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

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

"We've had a bit of a breakthrough." Toyota, MIT and Columbia Engineering have shown off wild results from a new AI learning approach that massively accelerates how quickly robots can acquire new ...

(TNS) — Late in the Douglas VEX Battle on Saturday afternoon, Lilly Schubach made a dash from the Douglas High School gymnasium, where the robotics competition was taking place, to the hallway where ...

In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.

Open source robotics AI platform LeRobot surpassed 58,000 community datasets in 2026 — 50x growth in under a year — making it the largest dataset category on Hugging Face and signaling a ...

Chinese robotics firm Pudu has unveiled a next-generation industrial semi-humanoid robot designed for manufacturing ...