Accurate measuring and modeling of dynamic robot manipulation (e.g., tossing and catching) is particularly challenging, due to the inherent nonlinearity, complexity, and uncertainty in high-speed ...

LeRobot is a very flexible framework, capable of much more than just doing imitation learning on 3D-printed low-cost robot arms. But the main goal is to make this sort of thing accessible to just ...

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming ...

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

Acquiring dynamics is critical for robot learning and is fundamental to planning and control. This paper concerns two fundamental questions: How can we learn a model that covers massive, diverse robot ...

Ready to Learn is survived by all the PBS KIDS programs developed with its support and by all the children and families it touched.

A new, AI-powered training method created by UC Berkeley researchers helps robots learn complex tasks with startling speed and accuracy. The protocol combines human demonstrations and feedback ...

The Humanoid Robot Games in Beijing — featuring running, kickboxing and soccer — highlighted advancements in robotics. Limitations, too.

QPT has unveiled MicroDyno, a low-voltage motor drive test platform which demonstrates the key benefits of ultra-high frequency GaN-based motor drives.

China kicked off the three-day long World Humanoid Robot Games on Friday, looking to showcase its advances in artificial intelligence and robotics with 280 teams from 16 countries.

Humanoid robots showcased their talents at the opening ceremony of the first World Humanoid Robot Games in Beijing.