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  • 标题:Computation of Empowerment for an Autonomous Underwater Vehicle * * This work was partially supported by EC Horizon 2020 programme under the project WiMUST (Grant agreement no: 645141, Strategic objective: H2020 - ICT-23-2014 - Robotics).
  • 本地全文:下载
  • 作者:Nicola Catenacci Volpi ; Daniela De Palma ; Daniel Polani
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:15
  • 页码:81-87
  • DOI:10.1016/j.ifacol.2016.07.713
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper addresses the computation of the information-theoretic empowerment measure for a simplified vertical plane dynamic model of an eFolaga autonomous underwater vehicle. Empowerment can be used to measure how much influence a vehicle has on its behavior, and it identifies desirable states of the vehicle, hence it can act as an intrinsic cost function to use during a mission. Online empowerment computation can be exploited within complex autonomous robotics missions. The proposed approach is being developed in the framework of a H2020 underwater robotics research project (Widely scalable Mobile Underwater Sonar Technology) to improve the autonomy of autonomous underwater vehicles for acoustic seismic applications.
  • 关键词:KeywordsMarine RoboticsAutonomous Underwater VehicleInformation TheoryEmpowermentMobility
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