Identifying optimal trajectory parameters in robotic finishing operations using minimum number of physical experiments

Author:

Kabir Ariyan M.1,Langsfeld Joshua D.2,Kaipa Krishnanand N.3,Gupta Satyandra K.1

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

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A System for Human-Robot Teaming through End-User Programming and Shared Autonomy;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

2. Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks;Journal of Computing and Information Science in Engineering;2023-10-10

3. An evolutionary intelligent control system for a flexible joints robot;Applied Soft Computing;2023-03

4. Generation of synchronized configuration space trajectories with workspace path constraints for an ensemble of robots;The International Journal of Robotics Research;2021-01-31

5. A multi-aperture optical flow estimation method for an artificial compound eye;Integrated Computer-Aided Engineering;2019-02-25

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