Safa Ziadi and Mohamed Njah
[1] D.K. Liu, D. Wang, and G. Dissanayake, A force fieldmethod based multi-robot collaboration, in: IEEE Con-ference on Robotics, Automation and Mechatronics, 2006,1–6. [2] D. Wang, A generic force field method for robot real-time motion planning and coordination, A thesis submit-ted in fulfilment of the degree of doctor of philosophy,2009. [3] D. Wang, N.M. Kwok, D.K. Liu, and Q.P. Ha, RankedPareto particle swarm optimization for mobile robot motionplanning, Studies in Computational Intelligence, 177, 2009,97–118. [4] D. Wang, N.M. Kwok, D.K. Liu, H. Lau, and G. Dissanayake,PSO-tuned F2 method for multi-robot navigation, in: Inter-national Conference on Intelligent Robots and Systems (IEEE,2007), 3765–3770. [5] D. Wang, D. Liu, and G. Dissanayake, A variable speed forcefield method for multi-robot collaboration, in: InternationalConference on Intelligent Robots and Systems (IEEE, 2006),1–6. [6] D. Wang, D.K. Liu, N.M. Kwok, and K.J. Waldron, A subgoal-guided force field method for robot navigation, in: Mechtronicand Embedded Systems and Applications (IEEE, 2008), 488–493. [7] J.V. Miro, T. Taha, D. Wang, G. Dissanayake, and D. Liu,An efficient strategy for robot navigation in cluttered en-vironments in the presence of dynamic obstacles, in: TheEighth International Conference on Intelligent Technologies,2007. [8] S. Ziadi, M. Njah, and M. Chtourou, PSO-DVSF2: A newmethod for the path planning of mobile robots, in: 16th in-ternational conference on Sciences and Techniques of Auto-matic control and computer engineering – STA’2015, Monastir,Tunisia, December 21-23, 2015 [9] S. Ziadi, M. Njah, and M. Chtourou, PSO-CF2: A new methodfor the path planning of a mobile robot, in: IEEE InternationalMulti-Conference on Systems, Signals and Devices (SSD’15),Mahdia-Tunisia, Mars, 2015. [10] S. Ziadi, M. Njah, and M. Chtourou, APSO-DVSF2: Anoptimized mobile robot path planning approach, InternationalJournal of Electrical, Electronics and Data Communication,6, 2018, 63–68. [11] S. Ziadi, M. Njah, and S. Charfi, Which is better for mobilerobot trajectory optimization: PSO or GA?, in: New Trendsin Robot Control (Singapore: Springer, 2020), 261–277. [12] C. Qixin, H. Yanwen, and Z. Jingliang, An evolutionaryartificial potential field algorithm for dynamic path planningof mobile robot, in: 2006 IEEE/RSJ International Conferenceon Intelligent Robots and Systems (IEEE, 2006). [13] L. Huang, Velocity planning for a mobile robot to track a movingtargeta potential field approach, Robotics and AutonomousSystems, 57, 2009, 55–63. [14] X. Liang, et al. Research on mobile robot path planning indynamic environment, in: 2017 Chinese Automation Congress(CAC) (IEEE, 2017). [15] D. Drake, S. Koziol, and E. Chabot, Mobile robot path planningwith a moving goal, IEEE Access, 6, 2018, 12800–12814. [16] M.M.A. Al-Isawi and J.Z. Sasiadek, Navigation and control ofa space robot capturing moving target, in: 2017 11th Inter-national Workshop on Robot Motion and Control (RoMoCo)(IEEE, 2017). [17] J. Li, B. Xu, Y. Yang, et al., Three-phase qubits-basedquantum ant colony optimization algorithm for path planningof automated guided vehicles, International Journal of Roboticsand Automation, 34(2), 2019, 156–163. [18] C. Huang, U. Farooq, H. Liu, et al. A PSO-tuned fuzzy logicsystem for position tracking of mobile robot, InternationalJournal of Robotics and Automation, 34(1), 2019. [19] L.A. Nguyen, T.D. Ngo, T.D. Pham, and X.T. Truong, Anefficient navigation system For autonomous mobile robots indynamic social environments, International Journal of Roboticsand Automation, 36, 2021. [20] M. Fetanat, S. Haghzad, S.B. et Shouraki, Optimization ofdynamic mobile robot path planning based on evolutionarymethods, in: 2015 AI & Robotics (IRANOPEN) (IEEE, 2015),1–7. [21] B. Kaewkamnerdpong and P. Bentley, Perceptive particleswarm optimization: An investigation, in: Proceedings 2005IEEE Swarm Intelligence Symposium, SIS 2005, 2005, 169–176. [22] O. Khatib, Real-time obstacle avoidance for manipulators andmobile robots, in: Autonomous robot vehicles (New York:Springer, 1986), 396–404.429
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