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Physical Intelligence has introduced RL Tokens (RLT), a method that allows robots to master delicate tasks like screwdriving and zip-tying in as little as 15 minutes, eventually outperforming human speed.
The landscape of humanoid robotics is undergoing rapid change, propelled by advancements in reinforcement learning (RL). A groundbreaking end-to-end neural network developed by Figure is setting new standards in humanoid locomotion, utilizing RL to achieve human-like walking in their Figure 02 robot. This innovation promises significant strides, yet it also raises important questions about the scalability and robustness of these technologies.
