Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

At the Soft Robotics Lab at ETH Zurich, the scene looks less like a traditional engineering workshop and more like a child’s ...

A simulation-trained DoorMan system helps a Unitree G1 outperform human operators in door opening speed and reliability.

The ReWiND method, which consists of three phases: learning a reward function, pre-training, and using the reward function ...

Ancient mudras offer a blueprint for smoother robot hand movement and could inspire new approaches to motor training and ...

How can an AI robot help improve human space exploration? This is what a recent study presented at the 2025 International ...

AgiBot, a humanoid robotics company based in Shanghai, has engineered a way for two-armed robots to learn manufacturing tasks through human training and real-world practice on a factory production ...