Identifying optimal trajectory parameters in robotic finishing operations using minimum number of physical experiments
Author:
Affiliation:
1. Center for Advanced Manufacturing, University of Southern California, CA, USA
2. Southwest Research Institute, TX, USA
3. Department of Mechanical and Aerospace Engineering, Old Dominion University, VA, USA
Publisher
IOS Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software
Reference49 articles.
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2. Kabir AM, Langsfeld JD, Zhuang C, Kaipa KN, Gupta SK. A systematic approach for minimizing physical experiments to identify optimal trajectory parameters for robots. In IEEE International Conference on Robotics and Automation, May 2017.
3. Ukar E, Lamikiz A, Lacalle LNL, Liebana F, Etayo JM. Laser polishing parameter optimization for die and moulds surface finishing. In ASME International Manufacturing Science and Engineering Conference, October 2008.
4. Pavel R, Wang X, Srivastava AK. Multi-constraint optimization for grinding nickel-based alloys. In ASME International Manufacturing Science and Engineering Conference, June 2013.
5. Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms;Rao;Applied Soft Computing,2010
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