DocumentCode :
2994199
Title :
RESPOND-R test instrument
Author :
Shrewsbury, Brandon ; Henkel, Zachary ; Chang Young Kim ; Murphy, R.R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2013
fDate :
21-26 Oct. 2013
Firstpage :
1
Lastpage :
6
Abstract :
The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human-robot performance during disaster responses. Currently deployed systems have limited data logging capabilities, with few incorporating heterogeneous robotic systems. Current systems focus on human performance and event information, but often incorporate restricted ontologies that inhibit real-time sensor logging of robotic systems. RESPOND-R provides broad logging coverage of robotic systems and human performance data, bridging the gap between the heterogeneous loggers and current emergency management systems. A Packbot 510 UGV, an AirRobot 100B sUAS, an AEOS Marcy USV, and nuclear biological chemical (NBC) sensors have been integrated into RESPOND-R. The paper describes how RESPOND-R supported data collection during a 2013 radiological forensics field exercise. The data has been used to analyze autonomous flight patterns for nuclear forensics and to isolate and identify the cause of a sensing anomaly.
Keywords :
autonomous aerial vehicles; data loggers; disasters; emergency management; human-robot interaction; rescue robots; AEOS Marcy USV; AirRobot 100B sUAS; NBC sensors; Packbot 510 UGV; RESPOND-R test instrument; autonomous flight patterns; disaster responses; distributed data logging framework; emergency informatics; emergency management systems; heterogeneous loggers; heterogeneous robotic systems; human-robot performance; modular data logging framework; nuclear biological chemical sensors; nuclear forensics; ontologies; radiological forensics field exercise; real-time sensor logging; sensing anomaly; Cameras; Instruments; Robot kinematics; Robot sensing systems; Standards; Streaming media; data to decision; disaster; emergency informatics; logging; ros;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Safety, Security, and Rescue Robotics (SSRR), 2013 IEEE International Symposium on
Conference_Location :
Linkoping
Print_ISBN :
978-1-4799-0879-0
Type :
conf
DOI :
10.1109/SSRR.2013.6719369
Filename :
6719369
Link To Document :
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