Title :
The flexible two-wheeled self-balancing robot intelligence controlling based on Boltzmann
Author :
Zhao, Jianwei ; Ruan, Xiaogang
Author_Institution :
Inst. of Artificial Intell. & Robots, Beijing Univ. of Technol., Beijing, China
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 :
Boltzmann machines; intelligent control; mobile robots; motion control; position control; Boltzmann machine controller; energy function; human lumbar; physiological intelligence; robot posture control; two-wheeled self-balancing robot intelligence control; Control system synthesis; Control systems; Humanoid robots; Humans; Intelligent robots; Machine intelligence; Modeling; Nonlinear control systems; Robot control; Springs;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
DOI :
10.1109/ROBIO.2009.5420511
