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P. Manoonpong

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Open access Jul 2026

From insect behavior to transferable robot locomotion: inferring embodied locomotor principles from limited data via adversarial inverse reinforcement learning

Insect locomotion exhibits remarkable adaptability and flexibility despite the limited scale of its nervous system. However, the underlying principles that govern leg coordination remain difficult to extract and model computationally. Understanding how insects achieve stable and adaptive locomotion has long provided im...

Yuchen Wang, Thirawat Chuthong, M. Hayashibe et al. · 0 citations
Conference Open access Jul 2026

Learning dynamically stable Ultra-Slow Gait in Quadruped Robots

This research proposes a novel control architecture for dynamically stable ultra-slow quadruped locomotion on unstructured and slippery terrains. The approach is based on Imitation Learning (IL), where two neural controllers are trained to imitate an optimal Quadratic Programming (QP) controller derived from a Linear T...

Alex Li Noce, P. Manoonpong, L. Patanè et al. · 0 citations

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