A team at ETH Zurich has demonstrated an AI-powered legged robot capable of autonomously playing badminton against human ...

Two recent papers in Science Robotics highlight how that type of AI — called reinforcement learning — could make such robots a reality. “We’ve seen really wonderful progress in AI in the ...

Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

Specifically, this new work reveals that reinforcement learning, widely used in the field of control and robotics, as well as in the development of tools related to natural language processing ...

It’s pre-trained using a paradigm called “unsupervised learning” and then fine-tuned with another referred to as “reinforcement ... siloed into a centralized database.

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

As an Amazon Associate, we earn from qualifying purchases. TweakTown may also earn commissions from other affiliate partners at no extra cost to you. TL;DR: FigureAI has developed an AI-powered ...

RL is widely used in fields such as robotics, game playing, and autonomous systems, where dynamic decision-making is essential. Examples of Reinforcement Learning: High computational cost ...

Boston Dynamics and RAI Institute have previously collaborated on the development of a reinforcement learning kit for the quadruped robot Spot. The kit for Spot has successfully run at 11.5 miles ...

After demonstrating the benefits of reinforcement learning with a faster version of Boston Dynamics’ Spot, the Robotics and AI Institute has shared a video of an impressive robotic bike that can ...