Visual perception and control of underwater robots / Junzhi Yu, Xingyu Chen, and Shihan Kong.

By: Yu, Junzhi (Writer on robotics) [author.]Contributor(s): Chen, Xingyu (Writer on robotics) [author.] | Kong, Shihan [author.]Material type: TextTextPublisher: Boca Raton, FL : CRC Press, 2021Copyright date: ©2021Edition: First editionDescription: 1 online resource (xiii, 235 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781000346596; 1000346595; 9781003144281; 1003144284; 9781000346619; 1000346617; 9781000346602; 1000346609Subject(s): Remote submersibles | Robots -- Control systems | Robot vision | COMPUTERS / Computer Graphics / General | TECHNOLOGY / General | TECHNOLOGY / Engineering / GeneralDDC classification: 623.82/05 LOC classification: TC1662 | .Y834 2021Online resources: Taylor & Francis | OCLC metadata license agreement Summary: "This book covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in sea. The other one is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Meanwhile, the mainstream technologies that are covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from the book"-- Provided by publisher.
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"This book covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in sea. The other one is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Meanwhile, the mainstream technologies that are covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from the book"-- Provided by publisher.

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