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Robots can now learn from their experiences and adapt in real-time, paving the way for a new era of general-purpose robotic agents.
WCM transforms the way reinforcement learning models handle temporal dynamics, leading to unprecedented generalization in robotic manipulation tasks.
Task-Agnostic Pretraining enables VLA models to achieve expert-level performance with orders of magnitude less labeled data, revolutionizing the scalability of embodied AI.
