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Enhanced dynamic obstacle avoidance for linked multi-agent systems by an extended hybrid reciprocal velocity obstacle model

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Maintaining spatial relationships among linked agents prevents collisions effectively in coordinated navigation, and
EHRVO outperforms conventional RVO and HRVO algorithms in dynamic, cluttered environments requiring proximity constraints.
Simulation of paired agents navigating challenging scenarios validates the proposed approach's effectiveness in collision avoidance.
The hierarchical constraint framework in EHRVO supports better agent coordination, crucial for efficient autonomous navigation.

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Novel EHRVO algorithm improves collision avoidance in multi-agent systems with linked agents, highlighting better spatial coordination.

Estévez et al. (2025) studied this question.

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