TY - GEN
T1 - Accommodating and assisting human partners in human-robot collaborative tasks through emotion understanding
AU - Diamantopoulos, Hope
AU - Wang, Weitian
N1 - Funding Information:
The authors would thank the great support provided in conducting this research from the Department of Computer Science and the Dean s Office of the College of Science and Mathematics at Montclair State University.
Funding Information:
ACKNOWLEDGMENT The authors would thank the great support provided in conducting this research from the Department of Computer Science and the Dean’s Office of the College of Science and Mathematics at Montclair State University.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/16
Y1 - 2021/7/16
N2 - Human-robot collaboration is inevitable in future smart manufacturing. In order to ensure safe human-robot collaboration, we develop a transfer learning-based approach to teach the robot to understand human emotions in smart manufacturing contexts. Our approach enables the robot to accurately understand human emotions and accommodate its human partner with corresponding assisting actions in collaborative tasks. This allows for improved collaboration-safety and enhanced ergonomics in human-robot partnerships. Experimental results and evaluations demonstrate that the robot can precisely understand human emotions in real time and effectively assist its human partner in real-world co-assembly tasks. Future work for this study is also discussed.
AB - Human-robot collaboration is inevitable in future smart manufacturing. In order to ensure safe human-robot collaboration, we develop a transfer learning-based approach to teach the robot to understand human emotions in smart manufacturing contexts. Our approach enables the robot to accurately understand human emotions and accommodate its human partner with corresponding assisting actions in collaborative tasks. This allows for improved collaboration-safety and enhanced ergonomics in human-robot partnerships. Experimental results and evaluations demonstrate that the robot can precisely understand human emotions in real time and effectively assist its human partner in real-world co-assembly tasks. Future work for this study is also discussed.
KW - Human-robot interaction
KW - Intelligent control
KW - Machine learning
KW - Robotics
KW - Vision system
UR - http://www.scopus.com/inward/record.url?scp=85115432417&partnerID=8YFLogxK
U2 - 10.1109/ICMAE52228.2021.9522451
DO - 10.1109/ICMAE52228.2021.9522451
M3 - Conference contribution
AN - SCOPUS:85115432417
T3 - 2021 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
SP - 523
EP - 528
BT - 2021 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
Y2 - 16 July 2021 through 19 July 2021
ER -