TY - GEN
T1 - Human Arm Stability in Relation to Damping-Defined Mechanical Environments in Physical Interaction with a Robotic Arm
AU - Zahedi, Fatemeh
AU - Lee, Hyunglae
N1 - Funding Information:
Research supported by National Science Foundation Award #1846885 and #1925110.
Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - This paper presents an experimental study that investigated how humans interact with viscous, damping-defined mechanical environments and quantified the lower bounds of robotic damping that they can stably interact with. Human subjects performed posture maintenance tasks for different arm postures while holding a robotic arm manipulator simulating unstable (negative) damping-defined environments and applying rapid perturbations to disturb the arm posture and challenge arm stability. The results of this study demonstrated that the lower bound of robotic damping for stable physical human-robot interaction was more than twice as low in the anterior-posterior (AP) direction than the medial-lateral (ML) direction, with lower limits of -50.3 Ns/m and -21.6 Ns/m in the AP and ML directions, respectively. The results further showed that the human arm is less capable of adjusting to the unstable environments when it is close to the body and laterally displaced for the AP and ML directions, respectively. Secondary analysis on the kinematic response in the phase space also demonstrated that arm stability in the unstable environments can be more easily achieved in the AP than ML direction. The outcomes of this study can be used to design less conservative robotic impedance or admittance controllers that utilize a wider range of robotic damping up to a certain extent of negative damping but do not compromise coupled stability of the human-robot system, which could improve the overall performance in physical human-robot interaction by achieving more agile operations and reducing user effort.
AB - This paper presents an experimental study that investigated how humans interact with viscous, damping-defined mechanical environments and quantified the lower bounds of robotic damping that they can stably interact with. Human subjects performed posture maintenance tasks for different arm postures while holding a robotic arm manipulator simulating unstable (negative) damping-defined environments and applying rapid perturbations to disturb the arm posture and challenge arm stability. The results of this study demonstrated that the lower bound of robotic damping for stable physical human-robot interaction was more than twice as low in the anterior-posterior (AP) direction than the medial-lateral (ML) direction, with lower limits of -50.3 Ns/m and -21.6 Ns/m in the AP and ML directions, respectively. The results further showed that the human arm is less capable of adjusting to the unstable environments when it is close to the body and laterally displaced for the AP and ML directions, respectively. Secondary analysis on the kinematic response in the phase space also demonstrated that arm stability in the unstable environments can be more easily achieved in the AP than ML direction. The outcomes of this study can be used to design less conservative robotic impedance or admittance controllers that utilize a wider range of robotic damping up to a certain extent of negative damping but do not compromise coupled stability of the human-robot system, which could improve the overall performance in physical human-robot interaction by achieving more agile operations and reducing user effort.
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U2 - 10.1109/ICRA48506.2021.9561794
DO - 10.1109/ICRA48506.2021.9561794
M3 - Conference contribution
AN - SCOPUS:85115239438
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 13997
EP - 14003
BT - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
Y2 - 30 May 2021 through 5 June 2021
ER -