A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method enables more robust and natural walking control for users of ...

Deep learning has emerged as a pivotal technology in the advancement of agricultural robotics, enabling machines to perceive, decide and act in complex farm environments. Convolutional architectures ...

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 ...

Autonomous navigation is a technology that enables Unmanned Aerial Vehicles (UAVs) to perceive its surroundings using onboard sensors and navigate safely and efficiently from a starting point to a ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...

HANGZHOU, China, April 21, 2026 (GLOBE NEWSWIRE) -- As embodied AI technology continues to develop and mature, quadruped robots have gradually penetrated diverse scenarios such as power inspection, ...