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The flexible two-wheeled self-balancing robot intelligence controlling based on Boltzmann

Jianwei Zhao, Xiaogang Ruan

Year
2009
Citations
3

Abstract

One new aspect, introduced in this paper, is the modeling of the human lumbar - a spring is added to the robot to imitate lumbar flexibility and curvature. The Bolzmann machine is used to control robot's posture based on study, and the flexible robot realizes posture control in the self-organizing capacity. The reasonable energy function is defined for the non-linear and strong coupling robot system, then designing the Bolzmann machine controller. The validity of the system modeling and controller design is verified through simulation, experimental results. The flexible robot likes the human being not only structure, but also physiological intelligence.

Keywords

RobotFlexibility (engineering)Controller (irrigation)Computer scienceRobot controlControl engineeringBoltzmann machineArtificial intelligenceControl theory (sociology)Simulation

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