[1] GAOMYZHOU H PYANGY Xet al.An intelligent masterslave collaborative robot system for cafeteria service［J］.Robotics and Autonomous Systems2022154:104121.

[2] ZHANG Z HWU L HZHANG W Qet al.Energyefficient path planning for a singleload automated guided vehicle in a manufacturing workshop［J］.Computers & Industrial Engineering2021158:107397.

[4] LAVALLE S M.Rapidlyexploring random trees:a new tool for path planning［R］.Ames:Iowa State UniversityDepartment of Computer Science1998．

[6] KAVRAKI L ESVESTKA PLATOMBE J Cet al.Probabilistic roadmaps for path planning in highdimensional configuration spaces［J］.IEEE Transactions on Robotics and Automation200212(4):566580.

[7] KUFFNER J JLAVALLES M.RRTconnect:an efficient approach to singlequery path planning［C］//Proceedings 2000 ICRA.Millennium Conference.IEEE International Conference on Robotics and Automation.Symposia Proceedings.San Francisco:IEEE2000:9951001.

[8] KARAMAN SFRAZZOLI E.Incremental samplingbased algorithms for optimal motion planning［J］.Science and Systems VI.Robotics:Science and Systems Foundation 20106:267274.

[9] GAMMELL J DSRINIVASA S SBARFOOT T D.Informed RRT*:optimal samplingbased path planning focused via direct sampling of an admissible ellipsoidal heuristic［C］//IEEE/RSJ International Conference on Intelligent Robots and Systems.Chicago:IEEE2014:29973004.

[12] YUAN L HZHAO J CLI W Het al.Improved InformedRRT* based path planning and trajectory optimization for mobile robots［J］.International Journal of Precision Engineering and Manufacturing202324:435446.