TY - JOUR
T1 - Coordinated Guiding Vector Field Design for Ordering-Flexible Multirobot Surface Navigation
AU - Hu, Bin Bin
AU - Zhang, Hai Tao
AU - Yao, Weijia
AU - Sun, Zhiyong
AU - Cao, Ming
PY - 2024/7/1
Y1 - 2024/7/1
N2 - In this article, we design a distributed coordinated guiding vector field (CGVF) for a group of robots to achieve ordering-flexible motion coordination while maneuvering on a desired 2-D surface. The CGVF is characterized by three terms, i.e., a convergence term to drive the robots to converge to the desired surface, a propagation term to provide a traversing direction for maneuvering on the desired surface, and a coordinated term to achieve the surface motion coordination with an arbitrary ordering of the robotic group. By setting the surface parameters as additional virtual coordinates, the proposed approach eliminates potential singularity of the CGVF and enables both the global convergence to the desired surface and the maneuvering on the surface from all possible initial conditions. The ordering-flexible surface motion coordination is realized by each robot to share with its neighbors only two virtual coordinates, i.e., that of a given target and that of its own, which reduces the communication and computation cost in multirobot surface navigation. Finally, the effectiveness of the CGVF is substantiated by extensive numerical simulations.
AB - In this article, we design a distributed coordinated guiding vector field (CGVF) for a group of robots to achieve ordering-flexible motion coordination while maneuvering on a desired 2-D surface. The CGVF is characterized by three terms, i.e., a convergence term to drive the robots to converge to the desired surface, a propagation term to provide a traversing direction for maneuvering on the desired surface, and a coordinated term to achieve the surface motion coordination with an arbitrary ordering of the robotic group. By setting the surface parameters as additional virtual coordinates, the proposed approach eliminates potential singularity of the CGVF and enables both the global convergence to the desired surface and the maneuvering on the surface from all possible initial conditions. The ordering-flexible surface motion coordination is realized by each robot to share with its neighbors only two virtual coordinates, i.e., that of a given target and that of its own, which reduces the communication and computation cost in multirobot surface navigation. Finally, the effectiveness of the CGVF is substantiated by extensive numerical simulations.
KW - Agents and autonomous systems
KW - cooperative control
KW - network analysis and control
KW - ordering-flexible surface navigation
UR - http://www.scopus.com/inward/record.url?scp=85182931918&partnerID=8YFLogxK
U2 - 10.1109/TAC.2024.3355321
DO - 10.1109/TAC.2024.3355321
M3 - Article
AN - SCOPUS:85182931918
SN - 0018-9286
VL - 69
SP - 4805
EP - 4812
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 7
M1 - 10402025
ER -