A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can ...

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

Using reinforcement learning, they were able to achieve a new top-speed for the robot of 3.9m/s, or roughly 8.7mph. You can watch what that looks like in the video below: ...

Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. IEEE Transactions on Cybernetics, 2019; 1 DOI: 10.1109/TCYB.2019.2890974 ...

Meet Cassie, a humanoid robot that stands 3.2 feet tall, weighs 68 pounds, and has two legs designed to handle diverse terrains and dynamic movements.

The new reinforcement learning framework Teng and his colleagues developed could soon open new possibilities for the real-world deployment of legged robots.

Researchers from École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and the University of Texas at Austin (UT) have developed a brain-computer interface (BCI) that allows users to ...