Yu Guo
2 papers · Latest:
Robotics
Agent-Centric Visual Reinforcement Learning under Dynamic Perturbations
ACO-MoE robustifies visual RL against dynamic perturbations by using agent-centric restoration experts, achieving near clean performance on a new benchmark.
2604.24661
Computer VisionCF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies
CF-VLA introduces a coarse-to-fine two-stage approach for efficient vision-language-action generation, significantly improving real-time robot performance.
2604.24622
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