LLM-Guided Adaptive Gait Control for Humanoid Robots via Multi-Modal State Reasoning
Adaptive gait control for humanoid robots operating in unstructured real-world environments remains a critical open problem. Existing approaches, including classical model-predictive controllers and reinforcement-learning-based policies, exhibit limited cross-terrain generalisation and require costly retraining when en...