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1

MacPherson, David L. A computer simulation study of rule-based control of an autonomous underwater vehicle. Monterey, California: Naval Postgraduate School, 1988.

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2

Nordman, Douglas B. A computer simulation study of mission planning and control for the NPS autonomous underwater vehicle. Monterey, Calif: Naval Postgraduate School, 1989.

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3

World Automation Congress (4th 2000 Maui, Hawaii). Underwater vehicle technology: Proceedings of the Symposium on Underwater Robotic Technology (SURT 2000) at the Fourth Biannual World Automation Congress (WAC 2000), June 12-15, 2000, Maui, Hawaii, USA. Edited by Choi Song K and Yuh Junku. Albuquerque, NM: TSI Press, 2002.

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4

Yuh, Junku. Underwater Robots. Boston, MA: Springer US, 1996.

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5

Yuh, Junku, Tamaki Ura, and George A. Bekey, eds. Underwater Robots. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1419-6.

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6

Antonelli, Gianluca. Underwater Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-14387-2.

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Antonelli, Gianluca. Underwater Robots. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02877-4.

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Antonelli, Gianluca. Underwater Robots. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77899-0.

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9

Junku, Yuh, Ura Tamaki, and Bekey George A. 1928-, eds. Underwater robots. Boston: Kluwer Academic, 1996.

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10

Workshop on Future Research Directions in Underwater Robotics (1994 Maui, Hawaii). Underwater robotic vehicles: Design and control. Edited by Yuh Junku, University of Hawaii at Manoa. Sea Grant College Program., National Science Foundation (U.S.), and Hawaii. Dept. of Business, Economic Development & Tourism. Albuquerque, NM: TSI Press, 1995.

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11

Kirchner, Frank, Sirko Straube, Daniel Kühn, and Nina Hoyer, eds. AI Technology for Underwater Robots. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30683-0.

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12

Yu, Junzhi, Xingyu Chen, and Shihan Kong. Visual Perception and Control of Underwater Robots. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2021. http://dx.doi.org/10.4324/9781003144281.

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13

Yu, Junzhi, Xingyu Chen, and Shihan Kong. Visual Perception and Control of Underwater Robots. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003144281.

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14

Paley, Derek A., and Norman M. Wereley, eds. Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50476-2.

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15

McNutt, Marcia Kemper. Exploring the deep sea with robots. Lisbon: Luso-American Foundation, 2004.

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16

Ribas, David. Underwater SLAM for structured environments using an imaging sonar. Berlin: Springer, 2010.

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17

Antonelli, Gianluca. Underwater robots: Motion and force control of vehicle-manipulator systems. Berlin: Springer, 2003.

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18

Antonelli, Gianluca. Underwater robots: Motion and force control of vehicle-manipulator systems. Berlin: Springer, 2003.

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19

Brutzman, Donald P. Software reference: A virtual world for an autonomous underwater vehicle. Monterey, Calif: Naval Postgraduate School, 1994.

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20

Ageev, M. D. Avtonomnye podvodnye roboty: Sistemy i tekhnologii = Autonomous underwater robots : systems and technology. Moskva: Nauka, 2005.

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21

Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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22

Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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23

Spare parts: Four teenagers, one underwater robot, and the pursuit of a dream. Toronto, Ontario, Canada: HaperCollins Publishers Ltd, 2014.

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24

Snow, Edward Ramsey. Advances in grasping and vehicle contact identification: Analysis, design and testing of robust methods for underwater robot manipulation. Cambridge, Mass: Massachusetts Institute of Technology, 1999.

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25

L, Wernli Robert, ed. The ROV manual: A user guide to observation-class remotely operated vehicles. Amsterdam: Butterworth-Heinemann, 2007.

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26

Wood, Stephen. Underwater Robotics - Ocean Engineering - Underwater Technology Lab. Primedia eLaunch LLC, 2015.

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27

Yuh. Journal of Robotic Systems June 1991 Special Issue on Underwater Robotics. John Wiley & Sons Inc, 2000.

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28

Boyer, Frédéric, and Vincent Lebastard. Electric sensing for underwater navigation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0019.

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Underwater navigation in turbid water for exploration in catastrophic conditions or navigation in confined unstructured environments is still a challenge for robotics. In these conditions, neither vision nor sonar can be used. Pursuing a bio-inspired approach in robotics, one can seek solutions in nature to solve this difficult problem. Several hundred fish species in families Gymnotidae and Mormyridae have developed an original sense well adapted to this situation: the electric sense. Gnathonemus petersii first polarizes its body with respect to an electric organ discharge located at the base of its tail and generates a dipolar electric field in its near surroundings. Then, using many transcutaneous electro-receptors distributed along its body, the fish “measures” the distortion of the electric field and infers an image of its surroundings. Understanding and implementing this bio-inspired sense offers the opportunity to enhance the navigation abilities of our underwater robots in confined spaces bathed by turbid waters.
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29

Antonelli, Gianluca. Underwater Robots: Motion and Force Control of Vehicle-Manipulator Systems (Springer Tracts in Advanced Robotics). 2nd ed. Springer, 2006.

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30

Xie, Guangming, and Xingwen Zheng. Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots. Taylor & Francis Group, 2022.

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31

Xie, Guangming, and Xingwen Zheng. Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots. Taylor & Francis Group, 2022.

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32

Xie, Guangming, and Xingwen Zheng. Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots. Taylor & Francis Group, 2022.

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33

Song K. Choi & Junku Yuh. Underwater Vehicle Technology Volume 12. TSI Press, 2002.

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34

Spilsbury, Louise, and Richard Spilsbury. Robots Underwater. Stevens Publishing LLLP, Gareth, 2015.

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35

Troupe, Thomas Kingsley. Underwater Robots. Black Rabbit Books, 2019.

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36

Yuh, Junku, George A. Bekey, and Tamaki Ura. Underwater Robots. Springer, 2011.

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37

Underwater Robots. Black Rabbit Books, 2020.

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38

Spilsbury, Louise, and Richard Spilsbury. Robots Underwater. Stevens Publishing LLLP, Gareth, 2015.

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39

Antonelli, Gianluca. Underwater Robots. Springer, 2018.

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40

Antonelli, Gianluca. Underwater Robots. Springer, 2013.

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41

Underwater Robots. Rosen Publishing Group, 2016.

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42

Underwater Robots. Black Rabbit Books, 2020.

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43

Faust, Daniel R. Underwater Robots. Rosen Publishing Group, 2016.

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44

Underwater Robots. Powerkids Pr, 2016.

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45

Antonelli, Gianluca. Underwater Robots. Springer, 2016.

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46

Antonelli, Gianluca. Underwater Robots. Springer, 2018.

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47

Antonelli, Gianluca. Underwater Robots. Springer London, Limited, 2013.

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48

Spilsbury, Louise, and Richard Spilsbury. Robots Underwater. Stevens Publishing LLLP, Gareth, 2015.

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49

Underwater Robots. Black Rabbit Books, 2017.

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50

Spilsbury, Louise, and Richard Spilsbury. Incredible Robots Underwater. Raintree Publishers, 2018.

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