Cognition-enabled Framework for Mixed Human-Robot Rescue Teams
Fereshta Yazdani, Gayane Kazhoyan, Asil Kaan Bozcuoğlu, Andrei Haidu, Ferenc Bálint-Benczédi, Daniel Beßler, Mihai Pomarlan, Michael Beetz
Abstract
With the advancements in robotic technology and the progress in human-robot interaction research, the interest in deploying mixed human-robot teams in rescue missions is increasing. Due to their complementary capabilities in terms of locomotion, visibility and reachability of areas, human-robot teams are considerably deployed in real-world settings, albeit the robotic agents in such scenarios are normally fully teleoperated. A major barrier to successful and efficient mission execution in those teams is the lack of cognitive skills in robotic systems. In this paper, we present a cognition-enabled framework and an implemented system where robotic agents are equipped with cognitive capabilities to naturally communicate with humans and autonomously perform tasks. The framework allows for natural tasking of robots, reasoning about robot behavior, capabilities and actions, and a common belief state representation for shared mission awareness of robots and human operators.
BibTeX
@inproceedings{iros2018_cognitionenabled,
title = {Cognition-enabled Framework for Mixed Human-Robot Rescue Teams},
author = {Fereshta Yazdani and Gayane Kazhoyan and Asil Kaan Bozcuoğlu and Andrei Haidu and Ferenc Bálint-Benczédi and Daniel Beßler and Mihai Pomarlan and Michael Beetz},
booktitle = {IROS 2018},
year = {2018}
}