학술논문

Human Preferences in Using Damping to Manage Singularities During Physical Human-Robot Collaboration
Document Type
Conference
Source
2020 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2020 IEEE International Conference on. :10184-10190 May, 2020
Subject
Robotics and Control Systems
Damping
Manipulators
Collaboration
Jacobian matrices
Kinematics
Collision avoidance
Language
ISSN
2577-087X
Abstract
When a robot manipulator approaches a kinematic singular configuration, control strategies need to be employed to ensure safe and robust operation. If this manipulator is being controlled by a human through physical human-robot collaboration, the choice of strategy for handling singularities can have a significant effect on the feelings and impressions of the user. To date the preferences of humans during physical human-robot collaboration regarding strategies for managing kinematic singularities have yet to be thoroughly explored.This work presents an empirical study of a dampingbased strategy for handling singularities with regard to the preferences of the human operator. Two different parameters, damping rate and damping asymmetry, are tested using a double-blind A/B pairwise comparison testing protocol. Participants included two cohorts made up of the general public (n=51) and people working within a robotic research centre (n=18). In total 105 individual trials were performed. Results indicate a preference for a faster, asymmetric damping behavior that slows motions towards singularities whilst allowing for faster motions away.