This paper presents a framework that integrates input-to-state string stability (ISSS) theory with reinforcement learning to achieve stable, scalable, and adaptive swarm coordination. First, a virtual string perception decomposes $N$-agent interactions into parallel robot-following subtasks by synthesizing local virtua...
Yu-Chen Wei, Wenke E, Yu-Hsiang Su et al.· 2026 IEEE 22nd International...· 0 citations
A Hyper Spatial-Temporal Graph (HSTG), which decomposes global spatial-temporal reasoning into local spatial-temporal receptive fields around individual joint-time nodes by extending per-frame skeleton graphs into temporal neighbourhoods, thereby enabling structure-aware coupled reasoning while preserving local structu...
Ruochen Li, Shuang Chen, E. Wenke et al.· 0 citations
An adaptive Lyapunov-constrained imitation learning framework for vehicle trajectory tracking is proposed that significantly outperforms state-of-the-art baselines in collision avoidance and disturbance rejection and introduces a state-dependent adaptive decay rate.
Yuchen Wei, Yu-Hsiang Su, F. Arvin et al.· 2026 IEEE/ASME International...· 0 citations
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