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Welding Robotic Co-Worker Using Brain Computer Interface

[+] Author Affiliations
Yao Li, Thenkurussi Kesavadas

University of Illinois Urbana-Champaign, Champaign, IL

Paper No. IMECE2018-87503, pp. V002T02A097; 9 pages
doi:10.1115/IMECE2018-87503
From:
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 2: Advanced Manufacturing
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5201-9
  • Copyright © 2018 by ASME

abstract

Robotic co-workers are an emerging generation of physical robots promises to transform manufacturing with its ability to communicate and collaborate, both robot-to-robot and robot-to-human, opening the way to greater innovation and productivity. We designed a welding robotic co-worker which observes industrial part, searches welding seams, plans welding trajectory, and simulates welding result automatically. It largely benefits small and medium-sized manufacturing enterprises (SMEs) by allowing manufacturers handle low-volume orders without re-programming. As a co-worker, the robot communicates with its operator though brain computer interface (BCI) as well as guarantees the operator’s safety. We demonstrated the performance of this robot using a human subject study in welding simulation environment.

Copyright © 2018 by ASME

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