Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 16, issue 2
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.
https://doi.org/10.5194/ms-16-533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
17 Oct 2025
Research article |  | 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

Yue Wang, Rongguang Lei, Meng Wang, Huijie Sun, Xiping Ma, and Yan Zhou

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Short summary
Aiming at the problems existing in the multi-objective trajectory planning of industrial robotic arms, a trajectory optimization method based on the improved sparrow search algorithm is studied and proposed. The multi-objective optimization function is constructed using the 3–5–3 polynomial interpolation to build the trajectory model.
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