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.

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

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 ...

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 ...

NVIDIA’s new Eureka “AI agent” utilizes GPT-4 by asking the large language model (LLM) to write its own reward-based reinforcement learning software code.