Shared Autonomy in Web-based Human Robot Interaction
Yug Ajmera, Arshad Javed

TL;DR
This paper presents a web-based shared autonomy system that enhances human-robot collaboration by integrating user input with autonomous functions, reducing cognitive load, and enabling direct interaction for improved team performance.
Contribution
It introduces a novel web interface for shared autonomy that facilitates human-robot interaction and mutual adaptation for better collaboration.
Findings
Web interface reduces operator cognitive load.
Point-and-click interaction improves control.
Mutual adaptation enhances team performance.
Abstract
In this paper, we aim to achieve a human-robot work balance by implementing shared autonomy through a web interface. Shared autonomy integrates user input with the autonomous capabilities of the robot and therefore increases the overall performance of the robot. Presenting only the relevant information to the user on the web page lowers the cognitive load of the operator. Through our web interface, we provide a mechanism for the operator to directly interact using the displayed information by applying a point-and-click paradigm. Further, we present our idea to employ a human-robot mutual adaptation in a shared autonomy setting through our web interface for effective team collaboration.
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