Authors:
Sridath Tula
1
;
2
;
Marie-Pierre Pacaux-Lemoine
1
;
Emmanuelle Grislin-Le Strugeon
1
;
3
;
Anna Ma-Wyatt
2
;
4
and
Jean-Philippe Diguet
2
Affiliations:
1
UPHF, CNRS, UMR 8201-LAMIH, Valenciennes, France
;
2
CNRS, IRL 2010 CROSSING, Adelaide, Australia
;
3
INSA Hauts-de-France, Valenciennes, France
;
4
The University of Adelaide, South Australia, Australia
Keyword(s):
Human-Robot Cooperation, Human-Robot Interfaces, Autonomous Agents, Mobile Robots, Human-Robot Teaming, Control and Supervision Systems.
Abstract:
This paper introduces a framework to enhance Human-Robot Cooperation in high-risk environments by leveraging a grid-based analysis. By integrating the concepts of Know-How-to-Operate and Know-How-to-Cooperate, the framework aims to balance and streamline cooperation strategies. The framework proposes grid-based configurations to identify agent competencies, manage resources, and dynamically allocate tasks. The study details first the framework, then shows how it can be applied to a team made of one human and two robots in a search-and-rescue context.