Human-Robot Teamwork in USAR Environments: the TRADR Project

Abstract (2015)

Authors

J. de Greeff Interactive Intelligence - EEMCS
K.V. Hindriks Interactive Intelligence - EEMCS
M.A. Neerincx Interactive Intelligence - EEMCS
Ivana Kruijff-Korbayova German Research Centre for Artificial Intelligence (DFKI)
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Human-centered computing Human computer interaction (HCI)
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Published Date

2015

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

The TRADR project aims at developing methods and models for human-robot teamwork, enabling robots to operate in search & rescue environments alongside humans as teammates, rather than as tools. Through a user-centered cognitive engineering method, human-robot teamwork is analyzed, modeled, implemented and evaluated in an iterative fashion. Important is the notion of persistence: rather than treating each sortie as a separate instance for which the build-up of situation awareness and exploration starts from scratch, the objective for the TRADR project is to provide robotic support in an ongoing, fluent manner. This paper provides a short overview of important aspects for human-robot teaming, such as human-robot teamwork coordination and joint situation awareness.