Collaborative Planning of Assembly Sequences with Joint Intelligence
Presented in this paper is a method that combines computer and human intelligence into a joint power to confront the intractability of assembly sequence planning. This method applies the theory of parameterized complexity to identify the source of complexity, and then separates and designates different tasks according to the strengths of autonomous planning and human reasoning for collaborative planning. The injection of human expertise via collaboration greatly helps to reduce the computational complexity of autonomous planning, and parameterized complexity analysis provides the much needed guideline for automated processes to decide when and what types of help are needed so that human intervention can be reduced to the minimum.
Xiaobu Yuan
School of Computer Science University of Windsor,Ontario,Canada
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
134-140
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）