Robotic Finishing of Interior Regions of Geometrically Complex Parts

Author:

Kabir Ariyan M.1,Shembekar Aniruddha V.1,Malhan Rishi K.1,Aggarwal Rohil S.1,Langsfeld Joshua D.2,Shah Brual C.1,Gupta Satyandra K.1

Affiliation:

1. University of Southern California, Los Angeles, CA

2. Southwest Research Institute, San Antonio, TX

Abstract

Surface finishing is an important manufacturing process. Many parts with complex geometries require finishing of internal regions before they can be used. In small and medium volume productions most of the finishing tasks are non-repetitive in nature, and have to be performed manually. These finishing operations for parts with complex geometries can be quite labor intensive, and may pose risk to humans. We have developed a collaborative finishing system where human operators work on high level decision making, and the robot assistants carry out the labor intensive low level finishing tasks. The human operator guides the robotic system by transferring operator knowledge through a user interface. Our system generates instructions for the robots based on the user inputs and task requirements. We have also developed a planning algorithm that automatically computes the paths for the robots by using the CAD model of the part. This significantly reduces the robot programming time and improves the efficiency of the finishing system. If needed, the system seeks help from the human operator by generating notifications.

Publisher

American Society of Mechanical Engineers

Cited by 3 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. Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks;Journal of Computing and Information Science in Engineering;2023-10-10

2. Human-Robot Collaboration in a Sanding Task;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2023-09

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

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