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Trajectory Planning of Cartesian Coordinate Robot Based on Combinatorial Optimization Algorithm

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Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022) (CIPA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 155))

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Abstract

In order to realize the actual work efficiency of the rectangular robot and the stability of the trajectory planning, the specific problems affecting the trajectory planning of the rectangular coordinate robot are deeply explored. On the basis of the trajectory planning of the traditional Cartesian coordinate robot, this paper uses the now very popular combinatorial optimization algorithm to study the optimization problem of the trajectory planning of the Cartesian coordinate robot and realizes the trajectory design of the Cartesian coordinate robot. Execution time: In this experiment, the combined optimization algorithm and genetic algorithm are used to plan the trajectory in the optimal time, and the optimal impact trajectory is set within the shortest execution time, and finally the optimal trajectory planning of the Cartesian coordinate robot is realized. The experimental results show that the use of combinatorial optimization algorithm can make the execution speed of the robot on the trajectory to be the shortest, and finally a smooth trajectory can be obtained, and the number of iterations in the experiment is 200 times, and the selection probability is 0.8, and the cross probability parameters are 0.9 and 0.8.

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Acknowledgements

This research is supported by Talent Research Fund Project of Hefei University in 2018–2019(18-19RC52), Major scientific and technological projects of Anhui Province (201903a05020033).

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Authors and Affiliations

  1. School of Advanced Manufacturing Engineering, Hefei University, Hefei, 230601, Anhui, China

    Qiang Qin & Yuan Guo

  2. School of Mechnical Engineering, National Polytechnic Institute of Cambodia, Phnom Penh, Cambodia

    Dynav

Authors
  1. Qiang Qin
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  2. Yuan Guo
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  3. Dynav
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Corresponding author

Correspondence to Yuan Guo .

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Editors and Affiliations

  1. Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

    Bernard J. Jansen

  2. School of Economics and Management, Changzhou Institute of Mechatronic Technology, Changzhou, China

    Qingyuan Zhou

  3. School of Computer Science and Cyberspace Security, Hainan University, Haikou, Hainan, China

    Jun Ye

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Qin, Q., Guo, Y., Dynav (2023). Trajectory Planning of Cartesian Coordinate Robot Based on Combinatorial Optimization Algorithm. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022). CIPA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 155. Springer, Singapore. https://doi.org/10.1007/978-981-19-9373-2_47

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