Publication | Closed Access
Use of remotely operated marine vehicles at Minamisanriku and Rikuzentakata Japan for disaster recovery
64
Citations
3
References
2011
Year
Unknown Venue
Artificial IntelligenceEngineeringField RoboticsIntelligent RoboticsCognitive RoboticsMarine EngineeringIntelligent SystemsMaritime SafetyRescue RobotSystems EngineeringDisaster RecoveryMarine VehiclesVictim SearchUnderwater RoboticsService RobotComputer ScienceRikuzentakata JapanComputer VisionVictim RecoveryAutomationMaritime AccidentRobotics
Unmanned marine vehicles have been used for disaster recovery since 2004, but only in limited applications, single areas, and short deployments. The study aims to collect 15 hours of operational data from ROVs and identify future research directions in computer vision, cyber‑physical systems, multi‑robot coordination, human‑robot interaction, simulation, and GIS. Three ROVs were deployed for five days, matched to missions specified by local municipalities.
Three underwater remotely operated vehicles (ROVs) were used over a five day period to inspect critical infrastructure and to assist with victim search and recovery at six sites in the Iwate Prefecture following the Tohoku Earthquake and Tsunami. Unmanned marine vehicles have been used since 2004 for disaster recovery operations but in limited applications, in single areas, and in short deployment durations. The joint IRS-CRASAR deployment matched robots for missions specified by civilian municipalities and the Japanese Coast Guard. The ROVs successfully allowed a fishing port to be re-opened and searched for victims trapped underwater in five different locations in varying areas (marinas, bridge debris, and waterfront residential areas) that could not be searched by manual divers. From a scientific perspective, the deployment provides a corpus of 15 hours of data of how rescue robots can be used. It illustrates that rescue robots are i) valuable for both economic and victim recovery, not just response, ii) that disaster robots need to be optimized for the unique missions and stakeholder needs, and iii) that human-robot interaction remains a challenge. This paper also identifies new areas for research: computer vision and cognitive engineering, cyber-physical systems, heterogeneous multi-robot coordination, human-robot interaction, simulation and geographical information systems.
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