## 3 Improved Artificial Potential Field Method Based on Joint Space
### Algorithm Comparison
In Proceedings of the 2018 8 th Conference of AI & Robotics and 10 th RoboCup Iranpen International Symposium (IRANOPEN), Qazvin, Iran, 10 April 2018; pp. 14-20. * [PERSON] et al. (2003) [PERSON]; [PERSON]; [PERSON] On the solution of multimodal robot inverse kinematic functions using real-coded genetic algorithms. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Conference Theme-System Security and Assurance, Washington, DC, USA, 8 October 2003; Volume 2, pp. 1840-1845. * [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON] Object Manipulation Using Unlimited Rolling Contacts: 2-D Kinematic Modeling and Motion Planning. _IEEE Trans. Robot._**2015**, _31_, 790-797. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] PRM-D* Method for Mobile Robot Path Planning. _Sensors_**2023**, _23_, 3512. [CrossRef] [PubMed]
* [PERSON] (1986) [PERSON] Real-time obstacle avoidance for manipulators and mobile robots. _Int. J. Robot. Res._**1986**, \(5\), 90-98. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A new method for robot path planning based artificial potential field. In Proceedings of the IEEE 11 th Conference on Industrial Electronics and Applications (ICIEA), Hefei, China, 5-7 June 2016; pp. 1294-1299. * [PERSON] and [PERSON] (2006) [PERSON]; [PERSON]; [PERSON] Robot path planning based on artificial potential field approach with simulated annealing. In Proceedings of the 6 th International Conference on Intelligent Systems Design and Applications, Jinan, China, 16-18 October 2006; pp. 622-627. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Path planning for unmanned surface vehicle based on predictive artificial potential field. _Int. J. Adv. Robot. Syst._**2020**, _17_, 1729881420918461. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Pathguided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments. In Proceedings of the IEEE International Conference on Robotics and Automation, Seattle, WA, USA, 26-30 May 2015; pp. 2347-2354. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Hybrid Path Planning Based on Safe A* Algorithm and Adaptive Window Approach for Mobile Robot in Large-Scale Dynamic Environment. _J. Intell. Robot. Syst._**2020**, _99_, 65-77. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Online on-Road Motion Planning Based on Hybrid Potential Field Model for Car-Like Robot. _J. Intell. Robot. Syst._**2022**, _105_, 7. [CrossRef] [PubMed]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Analysis of Obstacle Avoidance Strategy for Dual-Arm Robot Based on Speed Field with Improved Artificial Potential Field Algorithm. _Electronics_**2021**, _10_, 1850. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Trajectory Planning with Collision Avoidance for Redundant Robots Using Jacobian and Artificial Potential Field-based Real-time Inverse Kinematics. _Int. J. Control Autom. Syst._**2020**, _18_, 2095-2107. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Collision-Free Path-Planning for Six-DOF Serial Harvesting Robot Based on Energy Optimal and Artificial Potential Field. _Complexity_**2018**, _2018_, 3563846. [CrossRef]
* [PERSON] (2021) [PERSON]; [PERSON] A Motion Planning Algorithm for Redundant Manipulators Using Rapidly Exploring Randomized Trees and Artificial Potential Fields. _IEEE Access_**2021**, \(9\), 26059-26070. [CrossRef]
* [PERSON] (2018) [PERSON] Research on the Technology of Zero Moment Control and Collision Detection of Collaborative Robot. Ph.D. Dissertation, University of Science and Technology of China, Hefei, China, 2018. * [PERSON] (2004) [PERSON] The Application of Bounding Volume Algorithm in Collision Detection of Medical VR. Master's Thesis, Qingdao University, Qingdao, China, 2004. * [PERSON] et al.