TY - GEN
T1 - A Visual Information-Based Bidirectional Emotion Interaction Interface for Friendly and Empathic Collaborative Robots
AU - Murphy, Jordan
AU - Parron, Jesse
AU - Lyons, Maxim
AU - Wang, Weitian
AU - Li, Rui
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Human-robot collaboration in manufacturing is an increasingly important topic in the field of robotics. However, the current collaborative robot's unresolved mechanical and stiff behaviors make its interaction with humans extremely dull, especially for an extended period. Such interaction patterns could further discourage humans from collaborating with these robots. To solve this question, this paper aims to enable collaborative robots' emotional ability in recognizing and responding to human emotions through developing a visual information-based bidirectional emotion interaction (VI-BEI) interface and testing it in manufacturing co-assembly tasks. The developed interaction interface enables the robot to not only recognize human emotions visually but also provide artificial emotion feedback via 3D simulation technology which has flexible and quick prototypes, customization, and upgrading advantages compared to hardware design. Specifically, this paper introduces (1) the development of a 3D digital human interface that not only monitors human facial expressions but also produces artificial emotion feedback. (2) integrating the 3D digital human interface to enable a collaborative robot to express real-time emotions in addition to performing actions during co-assembly tasks, facilitating a friendly collaboration process. (3) validation experiments and analysis to evaluate the effectiveness and performance of the updated collaborative robot with facial expressions through real-world assembly tasks. The experimental results and analysis demonstrate the effectiveness and advantages of the current system, as well as guide the future improvement of the developed collaborative robots to be more empathic and friendly.
AB - Human-robot collaboration in manufacturing is an increasingly important topic in the field of robotics. However, the current collaborative robot's unresolved mechanical and stiff behaviors make its interaction with humans extremely dull, especially for an extended period. Such interaction patterns could further discourage humans from collaborating with these robots. To solve this question, this paper aims to enable collaborative robots' emotional ability in recognizing and responding to human emotions through developing a visual information-based bidirectional emotion interaction (VI-BEI) interface and testing it in manufacturing co-assembly tasks. The developed interaction interface enables the robot to not only recognize human emotions visually but also provide artificial emotion feedback via 3D simulation technology which has flexible and quick prototypes, customization, and upgrading advantages compared to hardware design. Specifically, this paper introduces (1) the development of a 3D digital human interface that not only monitors human facial expressions but also produces artificial emotion feedback. (2) integrating the 3D digital human interface to enable a collaborative robot to express real-time emotions in addition to performing actions during co-assembly tasks, facilitating a friendly collaboration process. (3) validation experiments and analysis to evaluate the effectiveness and performance of the updated collaborative robot with facial expressions through real-world assembly tasks. The experimental results and analysis demonstrate the effectiveness and advantages of the current system, as well as guide the future improvement of the developed collaborative robots to be more empathic and friendly.
KW - Bidirectional Interaction
KW - Human-Robot Interaction
KW - Human/Computer Interface
KW - Robotics
UR - http://www.scopus.com/inward/record.url?scp=85213363254&partnerID=8YFLogxK
U2 - 10.1109/ICNSC62968.2024.10760097
DO - 10.1109/ICNSC62968.2024.10760097
M3 - Conference contribution
AN - SCOPUS:85213363254
T3 - ICNSC 2024 - 21st International Conference on Networking, Sensing and Control: Artificial Intelligence for the Next Industrial Revolution
BT - ICNSC 2024 - 21st International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Networking, Sensing and Control, ICNSC 2024
Y2 - 18 October 2024 through 20 October 2024
ER -