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Moth-Inspired Plume Tracing via Autonomous Underwaer Vehcle with only a pair of Separated Chemical Sensors
Tian Y(田宇); Li W(李伟); Zhang FM(张福民)
Department水下机器人研究室
Conference NameOCEANS 2015 MTS/IEEE
Conference DateOctober 19-22, 2015
Conference PlaceWashington, DC
Source PublicationOCEANS 2015 MTS/IEEE
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages1-8
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161702299413
WOS IDWOS:000380550000095
Contribution Rank1
KeywordAutonomous Underwater Vehicle Chemical Plume Tracing Odor Source Localization Behavior-based Planning Bioinspired Robot
AbstractEffective chemical plume tracing strategies are important for autonomous underwater vehicles (AUVs) to perform a variety of missions of searching for underwater targets, such as oil spill sources and deep-sea hydrothermal vents. In such circumstances where fluid flow direction cannot be measured by AUVs or fluid flow direction provides little or wrong information about the distribution of a dynamic chemical plume or its source location, chemical plume tracing strategies that rely on information of fluid flow direction may not work effectively. In this paper, a modified moth-inspired chemical plume tracing strategy is presented, which could trace a turbulent chemical plume without need of information of flow direction. The strategy estimates the direction of plume centerline based on information from a pair of spatially separated chemical sensors symmetrically mounted on an AUV’s nose together with the AUV’s zigzag plume-tracing trajectory, and employs the estimated direction of plume centerline to implement the plume tracing. The proposed strategy is implemented in a computer simulation environment and the simulation results demonstrate that with the strategy an AUV could track a turbulent chemical plume over a long distance and finally localize the plume source.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17510
Collection水下机器人研究室
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, CA, United States
3.School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
Recommended Citation
GB/T 7714
Tian Y,Li W,Zhang FM. Moth-Inspired Plume Tracing via Autonomous Underwaer Vehcle with only a pair of Separated Chemical Sensors[C]. Piscataway, NJ, USA:IEEE,2015:1-8.
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