Author

Dongbin Zhao

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Preprint Sep 2026

LocoWM: High-Precision Locomotion through World-Model-Guided Residual Adaptation

High-precision locomotion combines motion-command tracking with precise regulation of task-relevant physical states, enabling robots to interact reliably with their surroundings during motion. Joint end-to-end optimization can leave precision objectives insufficiently optimized, while reactive residual control adjusts...

Zi-Jie Zhao, Sheng-Qian Chen, Xiao-Xu Wang et al. · 0 citations

2025

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

M3W is a novel approach that applies mixture-of-experts (MoE) to world model instead of policy, enabling both learning and planning, and demonstrates superior performance, sample efficiency, and multi-task adaptability.

Zi-Jie Zhao, Zhong Zhao, Kaixuan Xu et al. · Neural Information Processin... · 9 citations