Author

Shenghuang He

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Preprint Jul 2026

High-Precision Formation Control for Heterogeneous Multi-Robot Systems via Hierarchical Hybrid Physics-Informed Deep Reinforcement Learning

A hierarchical hybrid physics-informed deep reinforcement learning (HHy-PIDRL) framework, aiming to realize high-precision, highly responsive formation control for heterogeneous multi-robot systems (HMRSs).

Yanzhou Li, Guan‐Hao Chen, Xiao-Meng Li et al. · 0 citations