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Multiple Demonstrations Based Trajectory Generation for Mobile Agent Using DMPs with T-S Fuzzy Model

  • Beihang University
  • Peng Cheng Laboratory

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Dynamic Movement Primitives (DMPs), which represent movement plans based on a set of nonlinear differential equations with well-defined attractor dynamics, have been adapted for movement planning. In this paper, we present a trajectory generation method for mobile agent from multiple demonstration using DMPs. The original DMPs can be only used to learn from single demonstration. In order to adapt multiple demonstrations of different tasks, we use DMPs with Takagi-Sugeno fuzzy model to realize autonomous trajectory planning. The proposed scheme is capable to regenerate trajectory in the presence of obstacles even when the goal position is altered. A simulation example is given to confirm the effectiveness of the proposed scheme.

源语言英语
主期刊名Proceedings of the 40th Chinese Control Conference, CCC 2021
编辑Chen Peng, Jian Sun
出版商IEEE Computer Society
2808-2813
页数6
ISBN(电子版)9789881563804
DOI
出版状态已出版 - 26 7月 2021
活动40th Chinese Control Conference, CCC 2021 - Shanghai, 中国
期限: 26 7月 202128 7月 2021

出版系列

姓名Chinese Control Conference, CCC
2021-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议40th Chinese Control Conference, CCC 2021
国家/地区中国
Shanghai
时期26/07/2128/07/21

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