A Novel Double Layered Hybrid Multi-Robot Framework for Guidance and Navigation of Unmanned Surface Vehicles in a Practical Maritime Environment

Journal of Marine Science and Engineering

Sanjay Sharma¹  Asiya Khan¹  Robert Sutton¹  Yogang Singh²  Enrica Zereik³  Marco Bibuli³ 

[1] Autonomous Marine Systems (AMS) Research Group, University of Plymouth, PL4 8AA Plymouth, UK;Intelligent Mobile Platform (IMP) Research Group, KU Leuven, 3000 Leuven, Belgium;Istituto di iNgegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 16149 Genova, Italy;

关键词: A* path planning;    marine environment;    multi-robot systems;    navigation;    unmanned surface vehicle;   

DOI  :  10.3390/jmse8090624

来源: DOAJ

【 摘 要 】

Formation control and cooperative motion planning are two major research areas currently being used in multi robot motion planning and coordination. The current study proposes a hybrid framework for guidance and navigation of swarm of unmanned surface vehicles (USVs) by combining the key characteristics of formation control and cooperative motion planning. In this framework, two layers of offline planning and online planning are integrated and applied on a practical marine environment. In offline planning, an optimal path is generated from a constrained A* path planning approach, which is later smoothed using a spline. This optimal trajectory is fed as an input for the online planning where virtual target (VT) based multi-agent guidance framework is used to navigate the swarm of USVs. This VT approach combined with a potential theory based swarm aggregation technique provides a robust methodology of global and local collision avoidance based on known positions of the USVs. The combined approach is evaluated with the different number of USVs to understand the effectiveness of the approach from the perspective of practicality, safety and robustness.

【 授权许可】

Unknown