A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

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

Demand for industrial robots is rising in Europe, especially driven by the benefits of automation. However, there are ongoing challenges in ensuring seamless collaboration with humans while ...