Tool Compensation and User Strategy during Human-Robot Teleoperation are Impacted by System Dynamics and Kinesthetic Feedback
Jacob D. Carducci, Jeremy D. Brown

TL;DR
This study examines how system dynamics and kinesthetic feedback in teleoperation affect user control strategies and tool compensation, revealing limits in human ability to adapt at higher task speeds.
Contribution
It provides experimental insights into how different transmission dynamics influence user behavior and compensation strategies during teleoperation tasks.
Findings
Tracking performance was consistent across transmission types.
User adjustment strategies differed between rigid and EM transmissions.
Compensation ability decreased with increasing task speed.
Abstract
Manipulating an environment remotely with a robotic teleoperator introduces novel electromechanical (EM) dynamics between the user and environment. While considerable effort has focused on minimizing these dynamics, there is limited research into understanding their impact on a user's internal model and resulting motor control strategy. Here we investigate to what degree the dynamics and kinesthetic feedback of the teleoperator influence task behavior and tool compensation. Our teleoperator testbed features a leader port controlled by user input via wrist rotation, a follower port connected to a virtual environment rendered by rotary motor, and three distinct transmissions (Rigid, Unilateral EM, Bilateral EM) in-between that can be engaged independently. 30 adult participants rotated a disk in a visco-elastic virtual environment through counterbalanced presentation of each…
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Taxonomy
TopicsTeleoperation and Haptic Systems · Human-Automation Interaction and Safety · Digital Transformation in Industry
