We study the problem of multi-agent navigation in static environments when no centralized controller is present. Each agent is controlled individually and relies on three algorithmic components to achieve its goal while avoiding collisions with the other agents and the obstacles: i) individual path planning which is done by Theta* algorithm; ii) collision avoidance while path following which is performed by ORCA* algorithm; iii) locally-confined multi-agent path planning done by Push and Rotate algorithm. The latter component is crucial to avoid deadlocks in confined areas, such as narrow passages or doors. We describe how the suggested components interact and form a coherent navigation pipeline. We carry out an extensive empirical evaluation of this pipeline in simulation. The obtained results clearly demonstrate that the number of occurring deadlocks significantly decreases enabling more agents to reach their goals compared to techniques that rely on collision-avoidance only and do not include multi-agent path planning component.
DOI: 10.1007/978-3-030-60337-3_6
Скачать сборник (PDF) или читать онлайн на Springer Nature (англ.): https://link.springer.com/chapter/10.1007/978-3-030-60337-3_6
Скачать статью на arXiv.org (англ.): https://arxiv.org/abs/2008.01227
ResearchGate: https://www.researchgate.net/publication/345006196_A_Combination_of_Theta_ORCA_and_Push_and_Rotate_for_Multi-agent_Navigation
Dergachev, S., Yakovlev, K., Prakapovich, R. (2020). A Combination of Theta*, ORCA and Push and Rotate for Multi-agent Navigation // In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2020. Lecture Notes in Computer Science, Vol. 12336, pp. 55–66.