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  • Zhang, Qiuyun; Zhang, Shimiao; Zhou, Zike

    2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), 2021-Oct.
    Conference Proceeding

    This paper introduces the study of multi-robot coordinated collision avoidance and task collaboration in a multi-robot system considering the localization uncertainty. Use MATLAB simulation and use the Voronoi-based method to change the uncertainty of the robot's position in a specific working environment and compare the performance of the robot and the effect of avoiding collisions. An effective solution is also considered for the deadlock problem in motion planning. It is feasible and secure to use the Voronoi-based method to avoid collisions and complete tasks under the localization uncertainty.