Symbolic Task Planning for Robot Operations under Unstructured Environment

摘要：

To ensure a robot capable of robust task execution in unstructured environments, task planners need to have a high-level understanding of the world, reason for deliberated actions, and react to the change of the environment. This paper proposes a task planning approach that integrating deeper domain knowledge, real time perception and symbolic planning for robot operation. A higher degree of autonomy under unstructured environment will be endowed to the robot with the proposed approach.

作者: Renxi Qiu Alexandre Noyvirt Ze Ji Dayou Li Georg Arbeiter Shuo Xu

作者单位: Cardiff School of Engineering, Cardiff University, CF24 3AA, Wales, U.K Department of Computing and Information Systems, University of Bedfordshire, LU1 3JU, U.K. Fraunhofer IPA, Nobelstr.12, 70569 Stuttgart, Germany Shanghai University, 200444 Shanghai, P.R.China

会议类型: 国际会议

会议名称: The First International Conference on Manipulation,Manufacturing and Measurement on the Nanoscale(第一届3M-NANO国际会议)

会议地点: 长春

会议语种:英文

页码: 1-6

在线出版日期: 2011-08-29（万方平台首次上网日期，不代表论文的发表时间）