Research on Task Effectiveness Evaluation Method of Quadruped Robot Dog

In order to solve the problem that the research on task effectiveness of quadruped robot dog is still in the blank stage, this paper proposes a task effectiveness evaluation method of quadruped robot dog based on ADC method. The evaluation index system of quadruped robot dog task effectiveness is proposed from three aspects: availability, reliability and task capability. And more dimensions such as collaborative ability, autonomous ability and survival ability are innovatively introduced. To realize the intelligent characteristics and systematic evaluation of the quadruped robot dog. Meanwhile, when calculating the weights of indicators, a combination of objective data and subjective evaluation is adopted. Drawing on the principle of entropy weight method, the weights of indicators are calculated based on the information entropy of historical simulation data and expert experience, thereby reducing the subjectivity of weighting and enhancing the scientificity of assessment.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019201
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
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Research on Task Effectiveness Evaluation Method of Quadruped Robot Dog

Xiaokai Xia, Zhen Wang, Yue Sun, Xu Yiming et al.
Robotic Locomotion and Control
article

Research on Task Effectiveness Evaluation Method of Quadruped Robot Dog

Xiaokai Xia, Zhen Wang, Yue Sun, Xu Yiming, Jingjing Tang, Yulong Zhu
article en

Abstract

In order to solve the problem that the research on task effectiveness of quadruped robot dog is still in the blank stage, this paper proposes a task effectiveness evaluation method of quadruped robot dog based on ADC method. The evaluation index system of quadruped robot dog task effectiveness is proposed from three aspects: availability, reliability and task capability. And more dimensions such as collaborative ability, autonomous ability and survival ability are innovatively introduced. To realize the intelligent characteristics and systematic evaluation of the quadruped robot dog. Meanwhile, when calculating the weights of indicators, a combination of objective data and subjective evaluation is adopted. Drawing on the principle of entropy weight method, the weights of indicators are calculated based on the information entropy of historical simulation data and expert experience, thereby reducing the subjectivity of weighting and enhancing the scientificity of assessment.

China Electronics Technology Group Corporation (CN)
Zero hunger
Openalex Percentile: Top 88%
Robotic Locomotion and Control
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Research on Task Effectiveness Evaluation Method of Quadruped Robot Dog — Xiaokai Xia, Zhen Wang, et al. · (2025) | TGRS Research Map | TGRS