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 ...

"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 ...

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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.

Engineering researchers at the University of Waterloo are successfully using a robot to help keep children with learning disabilities focused on their work. This was one of the key results in a new ...

STEM learning can be challenging, but educational robotics offers students an opportunity for a hands-on, guided problem solving learning experience Engineering is a critical part of STEM education, ...

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

Overview: The modern robotics software stack spans middleware, simulation, motion planning, and DevOps tools working in ...