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Research on the attitude detection technology of the tetrahedron robot

Hao Gong, Keshan Chen, Wenqiang Ren, Xin Cai

发表年份
2017
引用次数
3
访问权限
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摘要

The traditional attitude detection technology can’t tackle the problem of attitude detection of the polyhedral robot. Thus we propose a novel algorithm of multi-sensor data fusion which is based on Kalman filter. In the algorithm a tetrahedron robot is investigated. We devise an attitude detection system for the polyhedral robot and conduct the verification of data fusion algorithm. It turns out that the minimal attitude detection system we devise could capture attitudes of the tetrahedral robot in different working conditions. Thus the Kinematics model we establish for the tetrahedron robot is correct and the feasibility of the attitude detection system is proven.

关键词

TetrahedronRobotKalman filterComputer scienceSensor fusionComputer visionArtificial intelligenceKinematicsRobot kinematicsInverse kinematics

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