This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
HUO Jiajia, LIU Yu, ZHANG Xuanyi, et al. Research on Obstacle Avoidance and Path Optimization of Intelligent Vehicle [J]. Shandong Industrial Technology, 2017(11):163.HUOJiajiaLIUYuZHANGXuanyiResearch on Obstacle Avoidance and Path Optimization of Intelligent Vehicle [J]201711163Search in Google Scholar
XIN Peng. Research on Mobile Robot Path Planning Based on A* Algorithm [D]. Hebei University of Technology, 2022.XINPengHebei University of Technology2022Search in Google Scholar
REN Hongge, HU Hongchang, Shi Tao. Dynamic Path planning of Mobile Robot based on improved ant Colony Algorithm [J]. Modern Electronics Technique, 2021, 44(20):182–186. (in Chinese)RENHonggeHUHongchangShiTaoDynamic Path planning of Mobile Robot based on improved ant Colony Algorithm [J]20214420182186(in Chinese)Search in Google Scholar
KANG Chengbo. Research on Autonomous localization and Navigation System of logistics robot based on Laser SLAM [D]. Shanghai University of Engineering Science, 2020.KANGChengboShanghai University of Engineering Science2020Search in Google Scholar
Fox D, Burgard W, Thrun S. The dynamic window approach to collision avoidance[J]. IEEE Robotics & Automation Magazine, 2002, 4(1): 23–33.FoxDBurgardWThrunSThe dynamic window approach to collision avoidance[J]2002412333Search in Google Scholar
ZHU Manman, DU Yu, ZHANG Yonghua, et al. Local Path planning for Intelligent Vehicle based on Fuzzy Logic [J]. Journal of Beijing Union University, 2016, 30(04):29–32.ZHUManmanDUYuZHANGYonghuaLocal Path planning for Intelligent Vehicle based on Fuzzy Logic [J]201630042932Search in Google Scholar
Peter E H, Nils J N, Betram R. A Formal Basis for the Heuristic Determination of Minimum Cost Paths[J]. IEEE Transactions on Systems Science and Cybernetics, 1968, 4(2): 100–107.PeterE HNilsJ NBetramRA Formal Basis for the Heuristic Determination of Minimum Cost Paths[J]196842100107Search in Google Scholar
HUO Fengcai, CHI Jin, HUANG Zijian, et al. Mobile Robot path planning Algorithm Review (Information Science Edition) [J]. Journal of Jilin University, 2019, (10):19–21.HUOFengcaiCHIJinHUANGZijianMobile Robot path planning Algorithm Review (Information Science Edition) [J]2019101921Search in Google Scholar
GAO Mindong, ZHANG Yani, ZHU Lingyun. Bidirectional aging A* Algorithm for Robot Path Planning [J]. Application Research of Computers, 2019, 36(3):792–795.GAOMindongZHANGYaniZHULingyunBidirectional aging A* Algorithm for Robot Path Planning [J]2019363792795Search in Google Scholar
GU Chen. Application of Improved A* Algorithm in Robot Path Planning [J]. Electronic Design Engineering, 2014, 22(19):96–98.GUChenApplication of Improved A* Algorithm in Robot Path Planning [J]201422199698Search in Google Scholar
WANG Shuaijun, HU Likun, WANG Yifei. Path planning of Indoor Mobile Robot based on improved D ~ * Algorithm [J]. Computer Engineering and Design, 2019, 41(4):1118–1124. (in Chinese)WANGShuaijunHULikunWANGYifeiPath planning of Indoor Mobile Robot based on improved D ~ * Algorithm [J]201941411181124(in Chinese)Search in Google Scholar
Duchon F, Babinec A, Kajan M, et al. Path Planning with Modified a Star Algorithm for a Mobile Robot[J]. Procardia Engineering, 2014, 96(96):59–69.DuchonFBabinecAKajanMPath Planning with Modified a Star Algorithm for a Mobile Robot[J]201496965969Search in Google Scholar
Liu J, Yang J, Liu H, et al. An Improved Ant Colony Algorithm for Robot Path Planning[J]. Soft Computing, 2017, 21(19):5829–5839.LiuJYangJLiuHAn Improved Ant Colony Algorithm for Robot Path Planning[J]2017211958295839Search in Google Scholar
Kaplan A, Kingry N, Uhing P, et al. Time-Optimal Path Planning with Power Schedules for a Solar-Powered Ground Robot [J]. IEEE Transactions on Automation Science and Engineering, 2017, 14(2):1235–1244.KaplanAKingryNUhingPTime-Optimal Path Planning with Power Schedules for a Solar-Powered Ground Robot [J]201714212351244Search in Google Scholar
Xu X L, Pan W, Huang Y B. Dynamic Collision Avoidance Algorithm for Unmanned Surface Vehicles via Layered Artificial Potential Field with Collision Cone[J]. Journal of Navigation, 2020, 73(6):1306–1325.XuX LPanWHuangY BDynamic Collision Avoidance Algorithm for Unmanned Surface Vehicles via Layered Artificial Potential Field with Collision Cone[J]202073613061325Search in Google Scholar
Zhang C. Path Planning for Robot based on Chaotic Artificial Potential Field Method[C]. //International Conference on Advanced Engineering and Technology, 2018, 317.ZhangCInternational Conference on Advanced Engineering and Technology2018317Search in Google Scholar
XU Fei. Research on Obstacle Avoidance and Path Planning of Robots Based on Improved Artificial Potential Field Method [J]. Computer Science, 2016,43(12):293–296.XUFeiResearch on Obstacle Avoidance and Path Planning of Robots Based on Improved Artificial Potential Field Method [J]20164312293296Search in Google Scholar
ZHANG Qiang, LU Shouyin, ZHANG Jiarui, et al. Path planning of inspection robot based on Safety A* algorithm and improved artificial potential field method [J]. Computer Age, 2022, (11):29–33+37.ZHANGQiangLUShouyinZHANGJiaruiPath planning of inspection robot based on Safety A* algorithm and improved artificial potential field method [J]2022112933+37Search in Google Scholar
ZHANG Shengnan. Research on Path Planning and Tracking Algorithm of Mobile Robot [D]. Heilongjiang University, 2021.ZHANGShengnanHeilongjiang University2021Search in Google Scholar
ZHOU Shibo. Path planning of wheeled robot based on improved A* algorithm and artificial potential field method [D]. Taiyuan University of Technology, 2021.ZHOUShiboTaiyuan University of Technology2021Search in Google Scholar
LV Jindou. Research on Robot Dynamic Path Planning Based on Improved A~* Potential Field Method [D]. Xi'an University of Architecture and Technology, 2020.LVJindouXi'an University of Architecture and Technology2020Search in Google Scholar
ZHI Jin Zhu. Research on Path Planning of Indoor Mobile Robot in Dynamic Environment [D]. Xi'an Technological University, 2021.ZHIJin ZhuXi'an Technological University2021Search in Google Scholar
LU Jian. Path Planning and Navigation of Indoor Mobile Robot [D]. Fujian University of Technology, 2022.LUJianFujian University of Technology2022Search in Google Scholar
Qi B, Li M, Yang Y, et al. Research on UAV path planning obstacle avoidance algorithm based on improved artificial potential field method[J]. Journal of Physics: Conference Series, 2021, 1948(1): 14–16QiBLiMYangYResearch on UAV path planning obstacle avoidance algorithm based on improved artificial potential field method[J]2021194811416Search in Google Scholar