A hybrid environment adaptation controller for a snake-like robot with online and autonomous learning ability | |
Yang GZ(杨贵志); Ma SG(马书根); Li B(李斌); Wang YC(王越超) | |
2010 | |
会议名称 | 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010 |
会议日期 | December 14-18, 2010 |
会议地点 | Tianjin, China |
关键词 | Biomimetics Friction Optimization Robotics Robots |
页码 | 1478-1483 |
中文摘要 | In this paper, we propose a two-modes autonomous controller for a snake-like robot to adapt to the environments with different friction coefficients. According to the cyclic 3-stages experiential learning theory, the controller integrates an open-form searching method and a closed-form searching method, which correspond to the two modes of the controller respectively. We introduce a mechanism to remember the already derived optimal relationship, thereby gradually approximating the optimal relationship for all environments. The controller can learn online so the approximation can be improved online and the controller will be also more and more accurate. The learning is also autonomous. After enough learning, the approximation will be very accurate so the optimum can be attained just by predicting rather than learning, thereby avoiding unnecessary leaning. Therefore, the controller is efficient. The accuracy and efficiency are validated in the simulations. |
收录类别 | EI |
产权排序 | 1 |
会议主办者 | IEEE Robotics and Automation Society; Hebei University of Technology; Tianjin University of Technology; Tianjin Association for Science and Technology |
会议录 | 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010 |
会议录出版者 | IEEE Computer Society |
会议录出版地 | Piscataway, NJ |
语种 | 英语 |
ISBN号 | 978-1-4244-9317-3 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/8482] |
专题 | 沈阳自动化研究所_机器人学研究室 |
推荐引用方式 GB/T 7714 | Yang GZ,Ma SG,Li B,et al. A hybrid environment adaptation controller for a snake-like robot with online and autonomous learning ability[C]. 见:2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010. Tianjin, China. December 14-18, 2010. |
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