Research on failure mode and effect analysis of indoor mobile robot location and perception systems

Xiangzhi Chen; Lihua Tang; Yuansheng Zhong; Xiaodong Gao; Weijian Hu

doi:10.1117/12.3010580

1 December 2023 Research on failure mode and effect analysis of indoor mobile robot location and perception systems

Xiangzhi Chen, Lihua Tang, Yuansheng Zhong, Xiaodong Gao, Weijian Hu

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129402A (2023) https://doi.org/10.1117/12.3010580
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

The location and perception systems are important component of indoor mobile robots, and research on their failure mode and effect can provide guidance for improving the performance of indoor mobile robots. In order to solve the problem that the weight distribution of risk factors in traditional failure mode and effect analysis (FMEA) is difficult and the evaluation results are greatly affected by subjectivity, an improved FMEA method of mobile robot location and perception systems based on interval triangular fuzzy number is proposed. Firstly, expert weights are allocated by multi standard analysis method, then the weights of risk factors are determined based on fuzzy analytic hierarchy process (FAHP), and finally the failure modes are ranked based on grey relational analysis (GRA) method. The experimental results indicate that the method proposed in this paper is more reasonable in risk ranking and can clearly distinguish between primary and secondary risks.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangzhi Chen, Lihua Tang, Yuansheng Zhong, Xiaodong Gao, and Weijian Hu "Research on failure mode and effect analysis of indoor mobile robot location and perception systems", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129402A (1 December 2023); https://doi.org/10.1117/12.3010580

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KEYWORDS

Failure analysis

Data communications

LIDAR

Robots

Mobile robots

Matrices

Analytical research

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