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Author

Shuli Lv

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Preprint Sep 2026

Time-Efficient Iterative Learning Planning for Safety-Critical Dynamic Obstacle Avoidance

Autonomous mobile robots require timeefficient planning and safety-critical dynamic obstacle avoidance under constrained onboard computation. While Iterative Learning Planning (ILP) offers lightweight and efficient traversal planning, it lacks explicit mechanisms for dynamic obstacle perception and avoidance. This arti...

Zhi-Yi Chen, Shu-Li Lv, Chen Min et al. · 0 citations
Review Aug 2026

VIP: Variation-based Iterative-learning Planning for Robotic Navigation

Extensive simulations and real-world experiments demonstrate that the proposed framework can efficiently generate and iteratively improve motion plans for different planning objectives, robotic platforms, and swarm configurations, highlighting its effectiveness, computational efficiency, and scalability as a general pl...

Shu-Li Lv, Pengda Mao, Chen Min et al. · 0 citations

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