Articles | Volume 16, issue 2
https://doi.org/10.5194/ms-16-533-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
17 Oct 2025
Research article |
| 17 Oct 2025
| 17 Oct 2025
Integrating elite opposition-based learning and Cauchy–Gaussian mutation into sparrow search algorithm for time–impact collaborative trajectory optimization of robotic manipulators
Cited articles
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Cao, B., Dodds, G., and Irwin, G.: An approach to time-optimal, smooth and collision-free path planning in a two robot arm environment, Robotica, 14, 61–70, https://doi.org/10.1017/s0263574700018944, 1996.
Chai, Q. and Wang, Y.: Improved RRT for Path Planning in Narrow Passages, Appl. Sci., 12, 12033, https://doi.org/10.3390/app122312033, 2022.
Chen, G., Luo, N., Liu, D., Zhao, Z., and Liang, C.: Path planning for manipulators based on an improved probabilistic roadmap method, Robot. Com.-Int. Manuf., 72, 102196,https://doi.org/10.1016/j.rcim.2021.102196, 2021.
Chen, Y., Chen, L., Ding, J., and Liu, Y.: Research on Real-Time Obstacle Avoidance Motion Planning of Industrial Robotic Arm Based on Artificial Potential Field Method in Joint Space, Appl. Sci., 13, 6973, https://doi.org/10.3390/app13126973, 2023.
