Title
TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response
Abstract
This paper describes the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. Experience shows that any incident serious enough to require robot involvement will most likely involve a sequence of sorties over several hours, days and even months. TRADR focuses on the challenges that thus arise for the persistence of environment models, multi-robot action models, and human-robot teaming, in order to allow incremental capability improvement over the duration of a mission. TRADR applies a user centric design approach to disaster response robotics, with use cases involving the response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne). This paper describes the fundamentals of the project: the motivation, objectives and approach in contrast to related work.
Year
DOI
Venue
2015
10.1007/s13218-015-0352-5
KI
Keywords
Field
DocType
Disaster response robotics, Persistent environment models, Persistent multi-robot action models, Persistent multi-robot collaboration models, Persistent human-robot teaming, User-centric design
Use case,Simulation,Computer science,Artificial intelligence,Industrial Accident,Robot,Robotics,Human–robot interaction,User-centered design
Journal
Volume
Issue
ISSN
29
2
1610-1987
Citations 
PageRank 
References 
7
0.59
39
Authors
10
Name
Order
Citations
PageRank
Ivana Kruijff-korbayová119626.48
Francis Colas234718.87
Mario Gianni31079.94
Fiora Pirri468494.09
Joachim de Greeff511713.35
Koen V. Hindriks623837.43
Mark A. Neerincx775796.80
Petter Ögren8364139.00
Tomás Svoboda944230.00
Rainer Worst10717.74