Researchers have developed a control system that helps make humanoid robots better handle tough, real-world tasks. Named ...

ETH Zurich’s AI robot ANYmal-D plays badminton using RL-based control, combining vision, locomotion, and precise arm movements.

Stanford University and Simon Fraser University researchers have developed a new AI system that enables humanoid robots to ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Two recent papers in Science Robotics highlight how that type of AI — called reinforcement learning ... control. It’s led to very sophisticated systems, such as the parkour-performing Atlas ...

The architecture employs two loops: an outer loop using GPT-4 for refining the reward function, and an inner loop for reinforcement learning to train the robot's control system. The research is ...

A team has shown that reinforcement learning ... of control and robotics, as well as in the development of tools related to natural language processing such as ChatGPT, allows underwater robots ...