TY - GEN
T1 - SMURF software architecture for low power mobile robots
T2 - 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2022
AU - Py, Frederic
AU - Robbiani, Giulia
AU - Marafioti, Giancarlo
AU - Ozawa, Yu
AU - Watanabe, Masahiro
AU - Takahashi, Kenichi
AU - Tadokoro, Satoshi
N1 - Funding Information:
*This work is supported by the project CURSOR, which has received funding from the European Union’s Horizon 2020 (H2020) programme under the grant agreement No:832790, and from the Japan Science and Technology Agency’s SICORP framework under the grant No:JPMJSC1810 1Dept. of Mathematics and Cybernetics, SINTEF Digital, Trondheim, Norway 2Graduate School of Information Sciences, Tohoku University, Sendai, Japan 3Tough Cyberphysical AI Research Center, Tohoku University, Sendai, Japan Giancarlo Marafioti: giancarlo.marafioti@sintef.no
Funding Information:
This work is supported by the project CURSOR, which has received funding from the European Union s Horizon 2020 (H2020) programme under the grant agreement No:832790, and from the Japan Science and Technology Agency s SICORP framework under the grant No:JPMJSC1810 The authors would like to thank the CURSOR technical partners and first responders that have contributed to the SMURF development, tested the prototypes in the field, and provided honest and useful feedback.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Search and rescue personnel is facing many challenges when deployed in the field after a natural or man-made disaster. In some cases they are exposed to safety risks, for instance when searching for trapped victims under a partially collapsed building after an earthquake. Robots could be a tool that the search and rescue teams could use to search in areas that are too dangerous or too difficult to reach. In this paper, part of the effort made by the CURSOR project is described. In particular, we present a software architecture designed and developed for the Soft Miniaturised Underground Robotic Finder (SMURF). The SMURF is a robotic platform designed and built to assist the search and rescue teams during their operations. Finally, we describe the main components of the SMURFs and share our findings and our acquired experience when developing and testing the SMURFs in realistic environments.
AB - Search and rescue personnel is facing many challenges when deployed in the field after a natural or man-made disaster. In some cases they are exposed to safety risks, for instance when searching for trapped victims under a partially collapsed building after an earthquake. Robots could be a tool that the search and rescue teams could use to search in areas that are too dangerous or too difficult to reach. In this paper, part of the effort made by the CURSOR project is described. In particular, we present a software architecture designed and developed for the Soft Miniaturised Underground Robotic Finder (SMURF). The SMURF is a robotic platform designed and built to assist the search and rescue teams during their operations. Finally, we describe the main components of the SMURFs and share our findings and our acquired experience when developing and testing the SMURFs in realistic environments.
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U2 - 10.1109/SSRR56537.2022.10018809
DO - 10.1109/SSRR56537.2022.10018809
M3 - Conference contribution
AN - SCOPUS:85147545835
T3 - SSRR 2022 - IEEE International Symposium on Safety, Security, and Rescue Robotics
SP - 264
EP - 269
BT - SSRR 2022 - IEEE International Symposium on Safety, Security, and Rescue Robotics
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 November 2022 through 10 November 2022
ER -