Development of a Robotic Floating Buoy for Autonomously Tracking Oil Slicks Drifting on the Sea Surface (SOTAB-II): Experimental Results

Rathour, Swarn Singh; Kato, Nobuo; Senga, Hidetaka; Tanabe, Toshiya; Yoshie, Muneo; Tanaka, Toshinari

doi:10.1007/978-4-431-55991-7_4

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…Experiments indicate that once the buoy is dropped into the oil slick drifting on the sea surface, it sets out to drift with the oil slick using the wind force by effectively controlling the sail size and direction. In 2015, Rathour et al [113,114,138] changed SOTAB-II to a yacht-shaped USV that can track spilled oil on the sea surface, using data supplied by onboard sensors to control rudder angle and sail area for navigation. The new USV takes advantage of the wind to move on the oil spill surface.…”

Section: Use Of Usvs In Environmental Disasters With Contaminantsmentioning

confidence: 99%

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Jorge

Granada

Maidana

et al. 2019

Sensors

134

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Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle—usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.

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Section: Use Of Usvs In Environmental Disasters With Contaminantsmentioning

confidence: 99%

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Jorge

Granada

Maidana

et al. 2019

Sensors

134

View full text Add to dashboard Cite

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Energy Storage System optimization for an Autonomous SailBoat

Boni

Montagni

Moreschi

et al. 2019

2019 IEEE 5th International Forum on Research and Technology for Society and Industry (RTSI)

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Available energy optimization on permanently non-grid-connected systems is a critical task. In fact, optimizing the power consumption of the active subsystems is only a part of getting an increased autonomy. A full optimization cannot be done without taking into consideration the energy source and the energy storage system, whose efficiency directly effect the total system autonomy. In this paper we present the optimization of the energy storage system for an autonomous sail drone, based on the use of solar panels connected to backup batteries. The proposed study represents a significant use case, not only for the importance and the impact of the proposed sail-drone but also for the involved field application (autonomous self-propelled selfsustained system) which is finding an increasing number of different application and a strong interest among the scientific community.

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Development of a Robotic Floating Buoy for Autonomously Tracking Oil Slicks Drifting on the Sea Surface (SOTAB-II): Experimental Results

Cited by 2 publications

References 24 publications

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Energy Storage System optimization for an Autonomous SailBoat

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