Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing.

Abstract: In this paper, a reinforcement learning (RL) based control method is presented, which allows a biomimetic jellyfish robot driven by a DC motor to track several trajectories. The novel ...

The company’s push into multimodal data collection and reinforcement learning signals its aim to control the full robotics stack.

SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...

Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation to reality.

A new demonstration video from Flexion Robotics shows its new “brain” powering an humanoid ...

Inside a modest-looking office building in Tokyo lives an unusually clever industrial robot made by the Japanese company Fanuc. Give the robot a task, like picking widgets out of one box and putting ...