TY - GEN
T1 - Distributed Task Assignment Method for Multiple Robots Based on Dynamic Auction Rules
AU - Xu, Jiajie
AU - Chen, Chinyin
AU - Chen, Silu
AU - Liu, Qiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Existing researchs on multi-robots task assignment focus on improving the task assignment efficiency without considering the task execution time and ignoring the overall task completion efficiency, which leads to its low computational efficiency in dynamic task assignment scenarios. In addition, the use of a centralized control structure requires high communication quality between robots. To address the above issues, we propose a distributed task assignment method for multiple robots based on dynamic auction rules. The method uses distributed control of robot swarms to share and dynamically update each other's task sets, employs dynamic auction rules for task bidding, adds links to adjust the task execution order, and considers the overall task completion efficiency. Finally, relevant experiments are designed, and the experimental results show that the algorithm is more efficient in terms of distribution and stability, balancing higher execution efficiency and lower motion cost.
AB - Existing researchs on multi-robots task assignment focus on improving the task assignment efficiency without considering the task execution time and ignoring the overall task completion efficiency, which leads to its low computational efficiency in dynamic task assignment scenarios. In addition, the use of a centralized control structure requires high communication quality between robots. To address the above issues, we propose a distributed task assignment method for multiple robots based on dynamic auction rules. The method uses distributed control of robot swarms to share and dynamically update each other's task sets, employs dynamic auction rules for task bidding, adds links to adjust the task execution order, and considers the overall task completion efficiency. Finally, relevant experiments are designed, and the experimental results show that the algorithm is more efficient in terms of distribution and stability, balancing higher execution efficiency and lower motion cost.
KW - Distributed control
KW - Dynamic auction rules
KW - Multi-robots task assignment
KW - component
UR - https://www.scopus.com/pages/publications/85163185019
U2 - 10.1109/ICCECE58074.2023.10135261
DO - 10.1109/ICCECE58074.2023.10135261
M3 - 会议稿件
AN - SCOPUS:85163185019
T3 - 2023 3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023
SP - 707
EP - 712
BT - 2023 3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023
Y2 - 6 January 2023 through 8 January 2023
ER -