A Hierarchical Knowledge Based System for Assembly Tasks in Human-Robot Cell Manufacturing
Information Control Problems in Manufacturing, Volume # 13 | Part# 1
Authors
Wang, Lei; Sawaragi, Tetsuo; Tian, Yajie
Identifier
10.3182/20090603-3-RU-2001.00019
Index Terms
Machining and Assembly Systems; Human-Automation Integration; Manufacturing Cells
Abstract
Cell production in which a few human workers operate robots to manufacture products is popular in Japan due to its flexibility. However, it is difficult for human workers to teach the robots to perform the assembly tasks. Therefore, this paper proposes a hierarchical knowledge based system to facilitate teaching robots the assembly tasks. The hierarchical knowledge based system divides the teaching task into 3 levels: 1. the task level human workers breakdown the complex assembly task with HTA (hierarchical task analysis); 2. the plan level human workers teach robots to assemble each workpiece with the plan knowledge base; 3. the command level with the command knowledge base, the assembling plan of each workpiece is translated into robot commands and executed by robots. As the knowledge bases in this system updated and augmented during each teaching task, the human workers assembling and teaching skills will be accumulated in the system to ease future teaching tasks.
References
REFERENCES A. Shepherd (2001). Hierarchical Task Analysis, Taylor & Francis, London. K. Case, W.A.W. Harun (2000). Feature-based representation for manufacturing planning, International Journal of Production Research, 38, 4285-4300. L. Laperriere, H.A. ElMaraghy (1991). Automatic Generation of Robotic Assembly Sequences, International Journal of Advanced Manufacturing Technology, 6, 299-316. L. Wang, T. Sawaragi, Y. Tian, et al, (2008). Acquiring Human Expertsf Tacit Knowledge from Observed Robotic Commands Satisfying the Criterion of Reusability and Understandability , SICE Symposium on Systems and Information 2008, 497-502. L. Wang, Y. Tian, T. Sawaragi (2008). Explanation-Based Manipulator Learning: Acquisition of Assembling Technique through Observation, Proceedings of the 17th IFAC World Congress, 2412-2417. M. Matsuoka, T. Watanabe (2008). Flexible Manufacturing by Application of RFID and Sensors in Robot Cell Manufacturing Systems. Proceedings of the 17th IFAC World Congress, 6739-6744. M. Tan, J.C. Schlimmer (1991). A Cost-sensitive Machine Learning Method for the Approach and Recognize Task, Robotics and AutonomousSystems, 8, 31-45. T. Dong, R. Tong, et al, (2005). A Collaborative Approach to Assembly Sequence Planning, Advanced Engineering Informatics, 19, 155-168.
