Intelligent robot motion trajectory planning based on machine vision

Yiwen Liu, Xian Zhang, Taiguo Qu (), Dong Yin and Shaowei Deng
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Yiwen Liu: Huaihua University
Xian Zhang: Huaihua University
Taiguo Qu: Huaihua University
Dong Yin: Huaihua University
Shaowei Deng: Huaihua University

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 28, 776-785

Abstract: Abstract In order to improve the effect of intelligent robot motion planning, this paper combines machine vision to conduct intelligent robot motion trajectory planning and analysis, and analyze the motion trajectory in complex environments. Aiming at the problem that the dynamic motion primitive algorithm is only suitable for an ideal and fixed motion environment during the demonstration and learning process, this paper proposes a robot motion trajectory control based on the ant colony algorithm, and proposes an ant colony optimization algorithm with self-adjusting the number of ants. The factors that affect the number of ants is the distance between the start point and the end point and the complexity of the map environment. After constructing an intelligent robot based on machine vision, based on the motion trajectory planning model, this paper collects data through machine vision, and realizes the intelligent planning and control of robot motion based on the motion planning algorithm. Through experimental research, it can be known that the intelligent robot system based on machine vision constructed in this paper can identify obstacles in complex environments and carry out reasonable trajectory planning.

Keywords: Machine vision; Intelligent robot; Motion trajectory; Planning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-021-01559-0

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