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 ...

Peng and his team first created a database of actions that ... To teach a simulated humanoid robot how to move, Peng and his team used reinforcement learning, where an AI is given an example ...

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 ...

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 ...

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.

have formed a partnership to advance humanoid robots through reinforcement learning. Together, the two organizations will establish a shared reinforcement learning training pipeline for the new ...

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 ...

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 ...

Dyna is developing an automation system that comprises two robotic arms placed next to one another. The company envisions it being used by restaurants, grocery stores and other businesses to automate ...