Walking on Ice: Adaptive Gait Control of Humanoid Robots Based on Visual Prediction and Proprioceptive Estimation for Variable Friction Environments
This work introduces a VLM-based friction predictor that enables the policy to take anticipatory actions before friction changing, thereby addressing variable-friction scenarios and provides a robust and efficient gait control framework for stable locomotion in real-world scenarios with dynamic friction conditions.