Industrial robotic co-workers are robots that can work with human being in an unstructured environment. Such robots, must be able to assist human operators in a seamless way without receiving specific instructions. Robotic co-workers can open entirely new application fields in manufacturing as demonstrated in this paper. We designed such an industrial co-robot to pick up defective parts by simply monitoring a human operator directly through a brain computer interface (BCI). By constantly monitoring the operator using BCI sensors, the robotic co-worker can sense when an operator notices a defective part and then moves to remove the part from a moving conveyor with no direct instruction from the operator. The robot, equipped with an RGB camera, recognizes the part, tracks the position and generates accurate motion plan. We demonstrated the system using a human subject study.
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ASME 2018 13th International Manufacturing Science and Engineering Conference
June 18–22, 2018
College Station, Texas, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5137-1
PROCEEDINGS PAPER
Brain Computer Interface Robotic Co-Workers: Defective Part Picking System
Yao Li,
Yao Li
University of Illinois at Urbana-Champaign, Champaign, IL
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Thenkurussi Kesavadas
Thenkurussi Kesavadas
University of Illinois at Urbana-Champaign, Champaign, IL
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Yao Li
University of Illinois at Urbana-Champaign, Champaign, IL
Thenkurussi Kesavadas
University of Illinois at Urbana-Champaign, Champaign, IL
Paper No:
MSEC2018-6655, V003T02A044; 8 pages
Published Online:
September 24, 2018
Citation
Li, Y, & Kesavadas, T. "Brain Computer Interface Robotic Co-Workers: Defective Part Picking System." Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference. Volume 3: Manufacturing Equipment and Systems. College Station, Texas, USA. June 18–22, 2018. V003T02A044. ASME. https://doi.org/10.1115/MSEC2018-6655
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