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Expanding our knowledge of the ocean with unmanned marine vehicles has long held promise due to the relative safety, higher endurance and lower costs compared to purely human exploration. Unmanned marine vehicles have also been regarded, until recently, as platforms deployed to collect information to be later analyzed by domain experts after the vehicle has been recovered. Due to advancements in the last decade in endurance, on-board computing, through-water and satellite communications, as well the reduction in size and cost of vehicles, an irreversible shift has occurred to expect more on-board decision-making, or autonomy. My work for roughly the last decade and foreseeable future has been focused on research and development of marine autonomy algorithms and architectures to enable unmanned platforms to explore the ocean in ways that are more effective, cheaper, with quicker access to information, and in a way that is more open to contributions from different minds from different fields.
Expanding our knowledge of the ocean with unmanned marine vehicles has long held promise due to the relative safety, higher endurance and lower costs compared to purely human exploration. Unmanned marine vehicles have also been regarded, until recently, as platforms deployed to collect information to be later analyzed by domain experts after the vehicle has been recovered. Due to advancements in the last decade in endurance, on-board computing, through-water and satellite communications, as well the reduction in size and cost of vehicles, an irreversible shift has occurred to expect more on-board decision-making, or autonomy. My work for roughly the last decade and foreseeable future has been focused on research and development of marine autonomy algorithms and architectures to enable unmanned platforms to explore the ocean in ways that are more effective, cheaper, with quicker access to information, and in a way that is more open to contributions from different minds from different fields.
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论文共 81 篇作者统计合作学者相似作者
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Jordan Beason,Michael Novitzky,John Kliem, Tyler Errico, Zachary Serlin, Kevin Becker,Tyler Paine,Michael Benjamin,Prithviraj Dasgupta, Peter Crowley, Charles O'Donnell,John James
arxiv(2024)
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)pp.6206-6213, (2023)
Nicholas Rober, Karan Mahesh,Tyler M. Paine,Max L. Greene, Steven Lee, Sildomar T. Monteiro,Michael R. Benjamin,Jonathan P. How
CoRR (2023)
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 6177-6184
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)pp.6206-6213, (2023)
Konstantinos Gavriilidis,Andrea Munafo,Helen Hastie,Conlan Cesar, Michael DeFilippo,Michael R. Benjamin
arxiv(2022)
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