Welding robotic co-worker using brain computer interface

Yao Li, Thenkurussi Kesavadas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 reprogramming. 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.

Original languageEnglish (US)
Title of host publicationAdvanced Manufacturing
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791852019
DOIs
StatePublished - 2018
EventASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States
Duration: Nov 9 2018Nov 15 2018

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume2

Conference

ConferenceASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Country/TerritoryUnited States
CityPittsburgh
Period11/9/1811/15/18

ASJC Scopus subject areas

  • Mechanical Engineering

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