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Shahabi, M., Ghariblu, H., & Beschi, M. (2019). Obstacle avoidance of redundant robotic manipulators using safety ring concept. International Journal of Computer Integrated Manufacturing, 32(7), 695-704.Search in Google Scholar
Wang, X., Yang, C., Ma, H., & Cheng, L. (2015, September). Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4575-4580). IEEE.Search in Google Scholar
Li, J. (2022). Optimisation of operation path of six-DOF industrial robot arm based on augmented reality. International Journal of Manufacturing Technology and Management, 36(5-6), 284-297.Search in Google Scholar
Zhao, L., Zhao, J., & Liu, H. (2021). Solving the inverse kinematics problem of multiple redundant manipulators with collision avoidance in dynamic environments. Journal of Intelligent & Robotic Systems, 101(2), 30.Search in Google Scholar
Zhu, Y. H., Chang, H. T., & Chang, J. Y. J. (2022). Humanoid robotic arm design with SRS configuration, redundant swivel angles analysis, and collision-free trajectory planning. International Journal of iRobotics, 5(1), 9-15.Search in Google Scholar
Chen, Z., Ma, L., & Shao, Z. (2019, November). Path planning for obstacle avoidance of manipulators based on improved artificial potential field. In 2019 Chinese Automation Congress (CAC) (pp. 2991-2996). IEEE.Search in Google Scholar
Xiao, L., & Zhang, Y. (2016). Dynamic design, numerical solution and effective verification of acceleration-level obstacle-avoidance scheme for robot manipulators. International Journal of Systems Science, 47(4), 932-945.Search in Google Scholar
Luo, L., Wen, H., Lu, Q., Huang, H., Chen, W., Zou, X., & Wang, C. (2018). Collision‐free path‐planning for six‐dof serial harvesting robot based on energy optimal and artificial potential field. Complexity, 2018(1), 3563846.Search in Google Scholar
Fang, S., Ma, X., Qu, J., Zhang, S., Lu, N., & Zhao, X. (2020). Trajectory planning for seven-DOF robotic arm based on seventh degree polynomial. In Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II 15th (pp. 286-294). Springer Singapore.Search in Google Scholar
Wang, X., Wang, J., Cao, P., & Yang, Y. (2021, May). Research on Obstacle Avoidance Strategy and Method of UR Manipulator. In 2021 International Conference on Communications, Information System and Computer Engineering (CISCE) (pp. 204-208). IEEE.Search in Google Scholar
Dai, Y., Xiang, C., Zhang, Y., Jiang, Y., Qu, W., & Zhang, Q. (2022). A review of spatial robotic arm trajectory planning. Aerospace, 9(7), 361.Search in Google Scholar
He, Z., Yuan, F., Chen, D., & Wang, M. (2019, December). Dynamic obstacle avoidance planning for manipulators of home. In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 2737-2742). IEEE.Search in Google Scholar
Mousa, M. A., Elgohr, A. T., & Khater, H. (2023). Path planning for a 6 DoF robotic arm based on whale optimization algorithm and genetic algorithm. Journal of Engineering Research, 7(5), 160-168.Search in Google Scholar
Dede, M. I. C., Maaroof, O. W., & Tatlicioglu, E. (2016). A new objective function for obstacle avoidance by redundant service robot arms. International Journal of Advanced Robotic Systems, 13(2), 48.Search in Google Scholar
Xie, Y., Zhang, Z., Wu, X., Shi, Z., Chen, Y., Wu, B., & Mantey, K. A. (2019). Obstacle avoidance and path planning for multi-joint manipulator in a space robot. IEEE Access, 8, 3511-3526.Search in Google Scholar
Park, S. O., Lee, M. C., & Kim, J. (2020). Trajectory planning with collision avoidance for redundant robots using jacobian and artificial potential field-based real-time inverse kinematics. International Journal of Control, Automation and Systems, 18(8), 2095-2107.Search in Google Scholar
Quan, Y., Wang, K., Zhao, C., Lv, C., Zhao, H., & Lv, H. (2023). Obstacle avoidance method for fixed trajectory of a seven-degree-of-freedom manipulator. Robotica, 41(5), 1515-1535.Search in Google Scholar
Han, B., Luo, X., Luo, Q., Zhao, Y., & Lin, B. (2021). Research on obstacle avoidance motion planning technology of 6-dof manipulator. In ICGG 2020-Proceedings of the 19th International Conference on Geometry and Graphics (pp. 604-614). Springer International Publishing.Search in Google Scholar
Baressi Šegota, S., Anđelić, N., Lorencin, I., Saga, M., & Car, Z. (2020). Path planning optimization of six-degree-of-freedom robotic manipulators using evolutionary algorithms. International journal of advanced robotic systems, 17(2), 1729881420908076.Search in Google Scholar
Lindner, T., & Milecki, A. (2022). Reinforcement learning-based algorithm to avoid obstacles by the anthropomorphic robotic arm. Applied Sciences, 12(13), 6629.Search in Google Scholar
Xia, X., Li, T., Sang, S., Cheng, Y., Ma, H., Zhang, Q., & Yang, K. (2023). Path planning for obstacle avoidance of robot arm based on improved potential field method. Sensors, 23(7), 3754.Search in Google Scholar
Fang, Z., & Liang, X. (2022). Intelligent obstacle avoidance path planning method for picking manipulator combined with artificial potential field method. Industrial Robot: the international journal of robotics research and application, 49(5), 835-850.Search in Google Scholar
Luo, R. C., & Kuo, C. W. (2016). Intelligent seven-DoF robot with dynamic obstacle avoidance and 3-D object recognition for industrial cyber–physical systems in manufacturing automation. Proceedings of the IEEE, 104(5), 1102-1113.Search in Google Scholar
Fu Yong,Chen Kun,He Li & Wang Hui Tan. (2024). Path planning for robotic fish based on improved RRT* algorithm and dynamic window approach. Industrial Robot: the international journal of robotics research and application(4),671-682.Search in Google Scholar
Tu Haiyan,Deng Yizhao,Li Qiyang,Song Mingjun & Zheng Xiujuan. (2024). Improved RRT global path planning algorithm based on Bridge Test.Robotics and Autonomous Systems.Search in Google Scholar
Xing Xu,Feifan Zhang & Yun Zhao. (2023). Unmanned Aerial Vehicle Path-Planning Method Based on Improved P-RRT* Algorithm. Electronics(22).Search in Google Scholar
Zou Qianshi,Le Minyu & Shen Yizhe. (2023). RRT path planning algorithm with enhanced sampling. Journal of Physics: Conference Series(1).Search in Google Scholar
Nguyen ThanhHung,Nguyen XuanThuan,Pham DucAn,Tran BaLong & Bui DinhBa. (2023). A new approach for mobile robot path planning based on RRT algorithm. Modern Physics Letters B(18).Search in Google Scholar