ICRA 2011 Paper Abstract


Paper TuA105.2

Yuan, Xiaobu (University of Wndsor)

Collaborative Planning of Assembly Sequences with Joint Intelligence

Scheduled for presentation during the Regular Sessions "Advanced Robot Control" (TuA105), Tuesday, May 10, 2011, 08:35−08:50, Room 3G

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on April 2, 2020

Keywords Virtual Reality and Interfaces, Intelligent and Flexible Manufacturing, Planning, Scheduling and Coordination


Presented in this paper is a method that combines computer and human intelligence into a new type of 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.



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