Additional Materials
Additional Materials
[1] Shuai, Cheng & Xiao, Junhao & Lu, Huimin. (2014). Real-time obstacle avoidance using subtargets and Cubic B-spline for mobile robots. 2014 IEEE International Conference on Information and Automation, ICIA 2014. 634-639. 10.1109/ICInfA.2014.6932731.
[2] Xiao J., Xiong D., Yao W., Yu Q., Lu H., Zheng Z. (2017) Building Software System and Simulation Environment for RoboCup MSL Soccer Robots Based on ROS and Gazebo. In: Koubaa A. (eds) Robot Operating System (ROS). Studies in Computational Intelligence, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-54927-9_18
[3] Connell D, Manh La H. Extended rapidly exploring random tree–based dynamic path planning and replanning for mobile robots. International Journal of Advanced Robotic Systems. May 2018. doi:10.1177/1729881418773874
[4] J. Bruce and M. Veloso, "Real-time randomized path planning for robot navigation," IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, 2002, pp. 2383-2388 vol.3, doi: 10.1109/IRDS.2002.1041624.
[5] Bruijnen, Dennis & Helvoort, Jeroen & Molengraft, M.J.G.. (2006). Realtime motion path generation using subtargets in a changing environment. Proceedings of the American Control Conference. 2006. 6 pp.. 10.1109/ACC.2006.1657385
[6] Zhou, Huiming. PathPlanning, https://github.com/zhm-real/PathPlanning.
[7] Sakai, Atsushi. PythonRobotics, https://github.com/AtsushiSakai/PythonRobotics.
[8] A. Takahashi, T. Hongo, Y. Ninomiya and G. Sugimoto, "Local Path Planning And Motion Control For Agv In Positioning," Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications, Tsukuba, Japan, 1989, pp. 392-397, doi: 10.1109/IROS.1989.637936.
[9] Karaman S, Frazzoli E. Sampling-based algorithms for optimal motion planning. The International Journal of Robotics Research. 2011;30(7):846-894. doi:10.1177/0278364911406761
[10] Zhou, Zhiqian. Simatch, https://github.com/nubot-nudt/simatch.
Figure 1: Passing