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Yalun Xiang

3 accepted papers

2026

Density-Driven Progressive Shape Formation for Swarm Robots in Dynamic Environments

RA-L 2026

This letter presents a novel density-based control framework for shape formation in swarm robotic systems, operating exclusively on local perception without requiring communication or identity recognition among robots and targets. Inspired by Smoothed Particle Hydrodynamics (SPH), each robot estimat

Cited by 2SourceScholar
2026

Emergence of Adaptive Collective Evasion Through Density-Based Interactions in Swarm Robotics

RA-L 2026

Collective evasion is critical in swarm robotics, enabling groups of simple robots to effectively elude external threats. Previous work on anti-predator behaviors relied on rigid evasion patterns coupled with velocity alignment, which lack adaptability when confronted with sustained and varied preda

Cited by 0SourceScholar
2024

Emergence of Collective Behaviors for the Swarm Robotics Through Visual Attention-Based Selective Interaction

RA-L 2024

Plenty of local interaction mechanisms have been proposed to achieve collective behaviors in swarm robotics. However, these mechanisms require robots to explicitly obtain the velocity of their neighbors as the sensory input to make motion decisions. This further poses great challenges in real-world

Cited by 9SourceScholar