TY - GEN
T1 - Dynamic affection-based motion control of a humanoid robot to collaborate with human in flexible assembly in manufacturing
AU - Rahman, S. M.Mizanoor
AU - Wang, Yue
N1 - Publisher Copyright:
© 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - This article presents a hybrid cell for human-robot collaboration (HRC) in flexible light assembly in manufacturing and investigates the effects of the robot's dynamic affections on human-robot interactions (HRI) and assembly performance. We develop a one human-one robot hybrid cell using a humanoid robot with affection display ability where the human and the robot collaborate to assemble few parts into a final product. Based on an optimization strategy, the assembly subtasks are optimally allocated between the human and the robot. We determine a computational dynamics model of the robot's affections for various situations associated with the assembly. Taking inspiration from the affection dynamics, we develop an affection-based motion control strategy for the robot so that the robot can dynamically adjust its affective expressions with task situations. We develop a comprehensive evaluation scheme to evaluate HRI and assembly performance in two different conditions of the robot: (i) the robot displays affections in its face dynamically with assembly task situations, (ii) the robot does not display affection. The results show that the motion control of the robot with dynamic affective expressions produce significantly better HRI and assembly performance than that produced by the motion control of the robot with no affective expression.
AB - This article presents a hybrid cell for human-robot collaboration (HRC) in flexible light assembly in manufacturing and investigates the effects of the robot's dynamic affections on human-robot interactions (HRI) and assembly performance. We develop a one human-one robot hybrid cell using a humanoid robot with affection display ability where the human and the robot collaborate to assemble few parts into a final product. Based on an optimization strategy, the assembly subtasks are optimally allocated between the human and the robot. We determine a computational dynamics model of the robot's affections for various situations associated with the assembly. Taking inspiration from the affection dynamics, we develop an affection-based motion control strategy for the robot so that the robot can dynamically adjust its affective expressions with task situations. We develop a comprehensive evaluation scheme to evaluate HRI and assembly performance in two different conditions of the robot: (i) the robot displays affections in its face dynamically with assembly task situations, (ii) the robot does not display affection. The results show that the motion control of the robot with dynamic affective expressions produce significantly better HRI and assembly performance than that produced by the motion control of the robot with no affective expression.
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U2 - 10.1115/DSCC2015-9841
DO - 10.1115/DSCC2015-9841
M3 - Conference contribution
AN - SCOPUS:84973497807
T3 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
BT - Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems
PB - American Society of Mechanical Engineers
T2 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -