{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T02:51:32Z","timestamp":1781837492815,"version":"3.54.5"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:00:00Z","timestamp":1781827200000},"content-version":"vor","delay-in-days":57,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020B1515120070"],"award-info":[{"award-number":["2020B1515120070"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515010885"],"award-info":[{"award-number":["2022A1515010885"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Team Project of Universities in Guangdong Province","award":["2021KCXTD010"],"award-info":[{"award-number":["2021KCXTD010"]}]},{"name":"Key Construction Discipline Research Capacity Enhancement Project of Guangdong Province","award":["2022ZDJS014"],"award-info":[{"award-number":["2022ZDJS014"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"DOI":"10.1007\/s10846-026-02400-1","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T06:36:36Z","timestamp":1776926196000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Strategy Mountain Gazelle Optimization Algorithm for Solving the Time-Optimal Trajectory Planning of Robotic Manipulator"],"prefix":"10.1007","volume":"112","author":[{"given":"Yu","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenhua","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5331-0980","authenticated-orcid":false,"given":"Zhiping","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajun","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaojun","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingwei","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huasheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,4,23]]},"reference":[{"key":"2400_CR1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3361015","author":"H Yin","year":"2024","unstructured":"Yin, H., Jin, H., Ju, F., Ge, M., Zhao, J.: Motion planning of humanoid upper-body robot using an integration-enhanced differentiator-based method: a time-varying linear equations approach. IEEE Trans. Ind. Inf. (2024). https:\/\/doi.org\/10.1109\/TII.2024.3361015","journal-title":"IEEE Trans. Ind. Inf."},{"key":"2400_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3284025","volume":"72","author":"J Peng","year":"2023","unstructured":"Peng, J., Zhang, C., Meng, D., Liang, B.: Trajectory optimization methods of a space hyper-redundant robot based on effective arm-shape measurement. IEEE Trans. Instrum. Meas. 72, 1\u201314 (2023). https:\/\/doi.org\/10.1109\/TIM.2023.3284025","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2400_CR3","doi-asserted-by":"publisher","unstructured":"Ma, C., Zhang, Y., Cheng, S.: Time optimal trajectory planning based on redundant manipulator. In: 2021 6th International Conference on Control, Robotics and Cybernetics (CRC), 125\u2013129. IEEE (2021) https:\/\/doi.org\/10.1109\/CRC52766.2021.9620143","DOI":"10.1109\/CRC52766.2021.9620143"},{"key":"2400_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106099","volume":"122","author":"\u00d6 Ekrem","year":"2023","unstructured":"Ekrem, \u00d6., Aksoy, B.: Trajectory planning for a 6-axis robotic arm with particle swarm optimization algorithm. Engineering Applications of Artificial Intelligence 122, 106099 (2023). https:\/\/doi.org\/10.1016\/j.engappai.2023.106099","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"1","key":"2400_CR5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0273640","volume":"18","author":"G Chen","year":"2023","unstructured":"Chen, G., Wei, N., Yan, L., Lu, H.F., Li, J.: Time-optimal trajectory planning based on event-trigger and conditional proportional control. PLoS ONE 18(1), e0273640 (2023). https:\/\/doi.org\/10.1371\/journal.pone.0273640","journal-title":"PLoS ONE"},{"issue":"4","key":"2400_CR6","doi-asserted-by":"publisher","first-page":"7629","DOI":"10.1109\/TASE.2023.3346693","volume":"21","author":"C Ji","year":"2023","unstructured":"Ji, C., Zhang, Z., Cheng, G., Kong, M., Li, R.: A convex optimization method to time-optimal trajectory planning with jerk constraint for industrial robotic manipulators. IEEE Trans. Autom. Sci. Eng. 21(4), 7629\u20137646 (2023). https:\/\/doi.org\/10.1109\/TASE.2023.3346693","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"2400_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107223","volume":"126","author":"W Chen","year":"2023","unstructured":"Chen, W., Wang, H., Liu, Z., Jiang, K.: Time-energy-jerk optimal trajectory planning for high-speed parallel manipulator based on quantum-behaved particle swarm optimization algorithm and quintic B-spline. Eng. Appl. Artif. Intell. 126, 107223 (2023). https:\/\/doi.org\/10.1016\/j.engappai.2023.107223","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"11","key":"2400_CR8","doi-asserted-by":"publisher","first-page":"8285","DOI":"10.1007\/s00170-022-09709-9","volume":"121","author":"Z Wang","year":"2022","unstructured":"Wang, Z., Shi, Y., Wang, X.: NURBS function closed-loop mapping trajectory planning of serial robotic plasma cladding for complex surface coatings. Int. J. Adv. Manuf. Technol. 121(11), 8285\u20138298 (2022). https:\/\/doi.org\/10.1007\/s00170-022-09709-9","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"7","key":"2400_CR9","doi-asserted-by":"publisher","DOI":"10.3390\/machines12070490","volume":"12","author":"F Ma","year":"2024","unstructured":"Ma, F., Sun, W., Jiang, Z., Suo, S., Wang, X., Liu, Y.: Industrial robot trajectory optimization based on improved sparrow search algorithm. Machines 12(7), 490 (2024). https:\/\/doi.org\/10.3390\/machines12070490","journal-title":"Machines"},{"issue":"11","key":"2400_CR10","doi-asserted-by":"publisher","DOI":"10.3390\/machines12110802","volume":"12","author":"B Wei","year":"2024","unstructured":"Wei, B., Liu, C., Zhang, X., Zheng, K., Cao, Z., Chen, Z.: Smooth and time-optimal trajectory planning for robots using improved carnivorous plant algorithm. Machines 12(11), 802 (2024). https:\/\/doi.org\/10.3390\/machines12110802","journal-title":"Machines"},{"issue":"5","key":"2400_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10489-024-06124-3","volume":"55","author":"Z Lu","year":"2025","unstructured":"Lu, Z., You, Z., Xia, B.: Time optimal trajectory planning of robotic arm based on improved sand cat swarm optimization algorithm. Appl. Intell. 55(5), 1\u201354 (2025). https:\/\/doi.org\/10.1007\/s10489-024-06124-3","journal-title":"Appl. Intell."},{"issue":"3","key":"2400_CR12","doi-asserted-by":"publisher","DOI":"10.3390\/axioms12030245","volume":"12","author":"J Xu","year":"2023","unstructured":"Xu, J., Ren, C., Chang, X.: Robot time-optimal trajectory planning based on quintic polynomial interpolation and improved Harris Hawks algorithm. Axioms 12(3), 245 (2023). https:\/\/doi.org\/10.3390\/axioms12030245","journal-title":"Axioms"},{"issue":"11","key":"2400_CR13","doi-asserted-by":"publisher","DOI":"10.3390\/app13116757","volume":"13","author":"J Hou","year":"2023","unstructured":"Hou, J., Du, J., Chen, Z.: Time-optimal trajectory planning for the manipulator based on improved non-dominated sorting genetic algorithm II. Appl. Sci. 13(11), 6757 (2023). https:\/\/doi.org\/10.3390\/app13116757","journal-title":"Appl. Sci."},{"issue":"1","key":"2400_CR14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-47001-2","volume":"13","author":"B Liang","year":"2023","unstructured":"Liang, B., Lin, X., Liu, G., Lei, J., Wang, W.: Trajectory analysis and optimization of sea buckthorn fruit vibration separation manipulator based on I-PSO algorithm. Sci. Rep. 13(1), 20124 (2023). https:\/\/doi.org\/10.1038\/s41598-023-47001-2","journal-title":"Sci. Rep."},{"key":"2400_CR15","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2022.852408","author":"X Zhang","year":"2022","unstructured":"Zhang, X., Xiao, F., Tong, X., Yun, J., Liu, Y., Sun, Y., Tao, B., Kong, J., Xu, M., Chen, B.: Time optimal trajectory planing based on improved sparrow search algorithm. Front in Bioeng and Biotechnol (2022). https:\/\/doi.org\/10.3389\/fbioe.2022.852408","journal-title":"Front in Bioeng and Biotechnol"},{"issue":"6","key":"2400_CR16","doi-asserted-by":"publisher","DOI":"10.3390\/en15062074","volume":"15","author":"K Nonoyama","year":"2022","unstructured":"Nonoyama, K., Liu, Z., Fujiwara, T., Alam, M.M., Nishi, T.: Energy-efficient robot configuration and motion planning using genetic algorithm and particle swarm optimization. Energies 15(6), 2074 (2022). https:\/\/doi.org\/10.3390\/en15062074","journal-title":"Energies"},{"issue":"34","key":"2400_CR17","doi-asserted-by":"publisher","first-page":"24243","DOI":"10.1007\/s00521-023-08972-5","volume":"35","author":"R Li","year":"2023","unstructured":"Li, R., Liu, M., Teutsch, J., Wollherr, D.: Constraint trajectory planning for redundant space robot. Neural Comput. Appl. 35(34), 24243\u201324258 (2023). https:\/\/doi.org\/10.1007\/s00521-023-08972-5","journal-title":"Neural Comput. Appl."},{"issue":"3","key":"2400_CR18","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1007\/s00170-019-04421-7","volume":"107","author":"C Liu","year":"2020","unstructured":"Liu, C., Cao, G.H., Qu, Y.Y., Cheng, Y.M.: An improved PSO algorithm for time-optimal trajectory planning of Delta robot in intelligent packaging. Int. J. Adv. Manuf. Technol. 107(3), 1091\u20131099 (2020). https:\/\/doi.org\/10.1007\/s00170-019-04421-7","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"7","key":"2400_CR19","doi-asserted-by":"publisher","first-page":"1014","DOI":"10.1177\/00202940231220080","volume":"57","author":"Y Zhou","year":"2024","unstructured":"Zhou, Y., Han, G., Wei, Z., Huang, Z., Chen, X., Wu, J.: Optimal trajectory planning of robot energy consumption based on improved sparrow search algorithm. Measurement and Control 57(7), 1014\u20131021 (2024)","journal-title":"Measurement and Control"},{"key":"2400_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2023.102645","volume":"86","author":"Y Liu","year":"2024","unstructured":"Liu, Y., Yi, W., Feng, Z., Yao, J., Zhao, Y.: Design and motion planning of a 7-DOF assembly robot with heavy load in spacecraft module. Rob Comput-Integr Manuf 86, 102645 (2024). https:\/\/doi.org\/10.1016\/j.rcim.2023.102645","journal-title":"Rob Comput-Integr Manuf"},{"key":"2400_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2023.105094","volume":"156","author":"H Feng","year":"2023","unstructured":"Feng, H., Jiang, J., Ding, N., Shen, F., Yin, C., Cao, D., Li, C., Liu, T., Xie, J.: Multi-objective time-energy-impact optimization for robotic excavator trajectory planning. Autom. Constr. 156, 105094 (2023). https:\/\/doi.org\/10.1016\/j.autcon.2023.105094","journal-title":"Autom. Constr."},{"key":"2400_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2022.104039","volume":"152","author":"Q Cheng","year":"2022","unstructured":"Cheng, Q., Hao, X., Wang, Y., Xu, W., Li, S.: Trajectory planning of transcranial magnetic stimulation manipulator based on time-safety collision optimization. Rob. Auton. Syst. 152, 104039 (2022). https:\/\/doi.org\/10.1016\/j.robot.2022.104039","journal-title":"Rob. Auton. Syst."},{"key":"2400_CR23","doi-asserted-by":"crossref","unstructured":"Pittner, M., Janai, J., Condurache, A.P: Lanecpp: Continuous 3d lane detection using physical priors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10639\u201310648 (2024)","DOI":"10.1109\/CVPR52733.2024.01012"},{"key":"2400_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2022.103282","volume":"174","author":"B Abdollahzadeh","year":"2022","unstructured":"Abdollahzadeh, B., Gharehchopogh, F.S., Khodadadi, N., Mirjalili, S.: Mountain gazelle optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Advances in Engineering Software 174, 103282 (2022). https:\/\/doi.org\/10.1016\/j.advengsoft.2022.103282","journal-title":"Advances in Engineering Software"},{"issue":"2","key":"2400_CR25","doi-asserted-by":"publisher","first-page":"2039","DOI":"10.1109\/TASE.2023.3251973","volume":"21","author":"J Lee","year":"2023","unstructured":"Lee, J., Zhou, S., Chen, J.: Robust parameter design on dual stochastic response models with constrained Bayesian optimization. IEEE Trans. Autom. Sci. Eng. 21(2), 2039\u20132050 (2023). https:\/\/doi.org\/10.1109\/TASE.2023.3251973","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"1","key":"2400_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/biomimetics8010070","volume":"8","author":"C Zeng","year":"2023","unstructured":"Zeng, C., Qin, T., Tan, W., Lin, C., Zhu, Z., Yang, J., Yuan, S.: Coverage optimization of heterogeneous wireless sensor network based on improved wild horse optimizer. Biomimetics 8(1), 70 (2023). https:\/\/doi.org\/10.3390\/biomimetics8010070","journal-title":"Biomimetics"},{"key":"2400_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.129604","volume":"286","author":"Y Li","year":"2024","unstructured":"Li, Y., Sun, K., Yao, Q., Wang, L.: A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm. Energy 286, 129604 (2024). https:\/\/doi.org\/10.1016\/j.energy.2023.129604","journal-title":"Energy"},{"issue":"3","key":"2400_CR28","doi-asserted-by":"publisher","DOI":"10.3390\/s22030855","volume":"22","author":"P Trojovsk\u00fd","year":"2022","unstructured":"Trojovsk\u00fd, P., Dehghani, M.: Pelican optimization algorithm: a novel nature-inspired algorithm for engineering applications. Sensors 22(3), 855 (2022). https:\/\/doi.org\/10.3390\/s22030855","journal-title":"Sensors"},{"key":"2400_CR29","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.neucom.2023.02.010","volume":"532","author":"H Su","year":"2023","unstructured":"Su, H., Zhao, D., Heidari, A.A., Liu, L., Zhang, X., Mafarja, M., Chen, H.: RIME: a physics-based optimization. Neurocomputing 532, 183\u2013214 (2023). https:\/\/doi.org\/10.1016\/j.neucom.2023.02.010","journal-title":"Neurocomputing"},{"key":"2400_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120887","volume":"677","author":"Y Tang","year":"2024","unstructured":"Tang, Y., Huang, K., Tan, Z., Fang, M., Huang, H.: Multi-subswarm cooperative particle swarm optimization algorithm and its application. Inf. Sci. 677, 120887 (2024). https:\/\/doi.org\/10.1016\/j.ins.2024.120887","journal-title":"Inf. Sci."}],"container-title":["Journal of Intelligent & Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10846-026-02400-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-026-02400-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-026-02400-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T02:22:03Z","timestamp":1781835723000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10846-026-02400-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,23]]},"references-count":30,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["2400"],"URL":"https:\/\/doi.org\/10.1007\/s10846-026-02400-1","relation":{},"ISSN":["1573-0409"],"issn-type":[{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,23]]},"assertion":[{"value":"18 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}],"article-number":"63"}}