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The method uses radial basis function (RBF) neural networks to achieve trajectory tracking accuracy and enhance robustness against external interference. A non-singular fast terminal sliding mode controller is designed for the system\u2019s convergence within a limited time. An adaptive neural network approximates the unknown nonlinear function of the dynamic model. Stability and finite-time convergence of the closed-loop system are established using Lyapunov theory. Experimental verification on the binocular vision platform demonstrates position and speed errors converging to the desired trajectory within 2 and 1\u2009second, respectively. Moreover, when subjected to external interference, the position and velocity errors converge within 0.1\u2009seconds. Simulation experiments confirm the method\u2019s effectiveness in improving convergence speed, trajectory tracking accuracy, and robustness against external interference, while reducing system chattering.<\/jats:p>","DOI":"10.1177\/01423312241239419","type":"journal-article","created":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T04:49:10Z","timestamp":1712983750000},"page":"2615-2627","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Trajectory tracking of binocular vision system for picking robot based on fast non-singular terminal sliding mode control"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8770-637X","authenticated-orcid":false,"given":"Yujin","family":"Chen","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Guangxi University, China"}]},{"given":"Xu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Guangxi University, China"}]},{"given":"Mengmeng","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Guangxi Vocational and Technical Institute of Industry, China"}]},{"given":"Yaoguang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Guangxi University, China"}]},{"given":"Jihong","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Guangxi University, China"},{"name":"Department of Precision Instrument, Tsinghua University, China"}]},{"given":"Yanmei","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Guangxi University, China"}]}],"member":"179","published-online":{"date-parts":[[2024,4,13]]},"reference":[{"key":"e_1_3_2_2_1","first-page":"221","volume-title":"Recent Advances in Structural Health Monitoring and Engineering Structures: Select Proceedings of SHM and ESPP","author":"Afia A","year":"2022","unstructured":"Afia A, Hand O, Fawzi G, et al. 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