Haopeng He, Wei Xiang, and Haibo Liu
[1] S.K. Das, S. Dash, and B.K. Rout, An integrative approachfor path planning and tracking of a shape-aware mobile robotin structured environment using vision sensor, InternationalJournal of Computational Vision and Robotics, 11(4), 2021,429–447. [2] W.J. Yao, H.G. De Marina, B.H. Lin, and M. Cao,Singularity free guiding vector field for robot navigation, IEEETransactions on Robotics, 37(4), 2021, 1206–1221. [3] T. Hossain, H. Habibullah, R. Islam, and R.V. Padilla, Localpath planning for autonomous mobile robots by integratingmodified dynamic window approach and improved followthe gap method, Journal of Field Robotics, 39(4), 2022,371–386. [4] Z. Wu, Y. Chen, J.L. Liang, B. He, and Y. Wang, A fast optimalglobal motion planning for mobile robot, IEEE Transactionson Industrial Electronics, 69(4), 2021, 3854–3864. [5] Y. Zhu, T. Wang, and S. Zhu, A novel tracking systemfor human following robots with fusion of MMW radarand monocular vision, Industrial Robot: The InternationalJournal of Robotics Research and Application, 49(1), 2022,120–131. [6] S.X. Chan, J. Tao, X.L. Zhou, B. Wu, H. Wang, and S.Chen, Target tracking based on standard hedging and featurefusion for robot, Industrial Robot: The International Journalof Robotics Research and Application, 48(5), 2021, 659–672. [7] S. Yousuf and M.B. Kadri, Information fusion of GPS, INSand odometer sensors for improving localization accuracy ofmobile robots in indoor and outdoor applications, Robotica,39(2), 2021, 250–276. [8] H. Tian, Research on robot optimal path planning methodbased on improved ant colony algorithm, International Journalof Computing Science and Mathematics, 13(1), 2021, 80–92. [9] Z.H. Jiang, B.Y. Shi, F.Y. Du, B. Xue, M. Lei, Z. Yang,and H. Sun, Intelligent plant cultivation robot based on keymarker algorithm using visual and laser sensors, IEEE SensorsJournal, 22(1), 2021, 879–889. [10] C. Lamini, S. Benhlima, and M.A. Bekri, Q-free walkant hybrid architecture for mobile robot path planning indynamic environment, International Journal on EngineeringApplications, 10(2), 2022, 105. [11] R. Liu, Improved ant colony algorithm based automatedguided vehicle path planning research for sensor aware obstacleavoidance, Sensors and Materials, 33(8), 2021, 2679–2691. [12] P. Chauchat, J. Vil`aValls, and E. Chaumette, Robust linearlyconstrained invariant filtering for a class of mismatchednonlinear systems, IEEE Control Systems Letters, 6, 2021,223–228. [13] Z. Nejati, M. Abedi, and A. Faraji, Modified three stageKalman filtering for stochastic nonlinear systems with randomlyoccurring faults and intermittent measurements, IET ControlTheory Applications, 16(7), 2022, 674–697. [14] W. He, S. Meng, and W. Gao, Weaving scheduling based onan improved ant colony algorithm, Textile Research Journal,91(5–6), 2021, 543–554. [15] H.T. Zhao, C.S. Zhang, and B. Zhang, A decomposition-based many objective ant colony optimization algorithm withadaptive reference points, Information Sciences, 540, 2020,435–448. [16] E. Li and K. Qi, Ant colony algorithm for path planning basedon grid feature point extraction, Journal of Shanghai JiaotongUniversity (Science), 28(1), 2023, 86–99. [17] T.V. Dang and N.T. Bui, Obstacle avoidance strategy formobile robot based on monocular camera, Electronics, 12(8),2023, 1932. [18] Z. Yaghoubi and H.A. Talebi, Consensus tracking for nonlinearfractional-order multi-agent systems using adaptive slidingmode controller, Mechatronic Systems and Control, 47(4),2019, 194–200. [19] J. Zou and H. Zhang, New key point detection technologyunder real-time eye tracking, Mechatronic Systems and Control,47(2), 2019, 71–76. [20] T.V. Dang, D.M.C. Tran, and P.X. Tan, IRDC-Net: Lightweightsemantic segmentation network based on monocular camerafor mobile robot navigation, Sensors, 23(15), 2023, 6907. [21] S. Xu, E.S.L. Ho, and H.P.H. Shum, A hybrid metaheuristicnavigation algorithm for robot path rolling planning in anunknown environment, Mechatronic Systems and Control,47(4), 2019, 216–224.81
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