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DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment
Large language models (LLMs) encode a vast amount of semantic knowledge and possess remarkable understanding and reasoning capabilities.
Decentralized Motor Skill Learning for Complex Robotic Systems
Experiments on quadruped and humanoid robots demonstrate that the learned policy is robust against local motor malfunctions and can be transferred to new tasks.
Learning Robust, Agile, Natural Legged Locomotion Skills in the Wild
In this paper, we propose a new framework for learning robust, agile and natural legged locomotion skills over challenging terrain.
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