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Author

Lan Wu

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Open access Sep 2026

Feasibility-aware whole-body control for terrain-adaptive humanoid locomotion

Humanoid locomotion over varying terrains typically relies on exteroceptive perception or manually tuned control gains, both of which limit robustness in real-world deployment. This paper presents a fully proprioceptive terrain-adaptive control approach that enables humanoid robots to walk across flat, uneven, and incl...

Hong-Tao Zhang, Lan Wu, T. Bräunl · 0 citations
Open access Sep 2026

TMG-MADRL: a transformer-based meta-graph multi-agent deep reinforcement learning framework for robot path planning in dynamic environments

A novel Transformer-guided Meta-learning and Graph-enhanced Multi-Agent Deep Reinforcement Learning (TMG-MADRL) framework for intelligent robot navigation to achieve robust path optimization, adaptive decision-making, and proactive collision avoidance in dynamic scenarios.

Shu-Lin Song, Lan Wu · 0 citations

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