LiU Electronic Press
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Author:
Murphy, Robin (Texas A&M University) (Center for Robot-Assisted Search and Rescue)
Kleiner, Alexander (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology) (Collaborative Robotics)
Title:
A Community-Driven Roadmap for the Adoption of Safety Security and Rescue Robots
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
Conference:
11th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2013), 21-26 October 2013, Linköping, Sweden
Publisher: IEEE conference proceedings
Year of publ.:
2013
URI:
urn:nbn:se:liu:diva-100157
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-100157
Subject category:
Robotics
Abstract(en) :

The IEEE Safety, Security, and Rescue Robotics community has created a roadmap for producing unmanned systems that could be adopted by the Public Safety sector within 10 years, given appropriate R&D investment especially in human-robot interaction and perception. The five applications expected to be of highest value to the Public Safety community, highest value first, are: assisting with routine inspection of the critical infrastructure, “chronic emergencies” such as firefighting, hazardous material spills, port inspection, and damage estimation after a disaster. The technical feasibility of the applications were ranked, with the most attractive scenario, infrastructure inspection, rated as the second easiest scenario; this suggests the maturity of robotics technology is beginning to match stakeholder needs. Each of the five applications were discussed in terms of the six broad enabling technology areas specified in the current National Robotics Initiative Roadmap (perception, human-robot interaction, mechanisms, modeling and simulation, control and planning, and testing and evaluation) and nine specific capabilities identified by the community as being essential to commercialization (communication, alerting, localization, fault tolerance, mapping, manpower needs, plug and play capabilities, multiple users, and multiple robots). The community believes that perception and human-robot interaction are the two biggest barriers to adoption, and require more research, given that their low technical maturity (3rd and 6th rank respectively). However, each of the specific capabilities needed for commercialization are being addressed by current research and could be achieved within 10 years with sustained funding. 

Note:

Accepted for Publication.

Research funder:
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications, 1025
Available from:
2013-10-30
Created:
2013-10-30
Last updated:
2013-10-31
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25 hits
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