#locomotion-control News & Analysis

2 articles tagged with #locomotion-control. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 47/10

🧠

CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation

Researchers introduce CoRe-MoE, a reinforcement learning framework enabling humanoid robots to seamlessly transition between walking and running while adapting to complex terrains. The two-stage approach decouples gait generation from terrain adaptation using a contrastive learning mechanism, with successful zero-shot deployment on a Unitree G1 robot across varied outdoor environments.

AINeutralarXiv – CS AI · May 286/10

🧠

Visualizing Latent Phase Structures in Locomotion Policies: A Multi-Environment Study with Temporal Feature Extension

Researchers propose a novel framework for visualizing latent motion phase structures in deep reinforcement learning locomotion policies by extending clustering features beyond state observations to include actions and next states. The method successfully identifies clearer phase transition patterns across three MuJoCo environments, advancing interpretability of neural network-based control policies.