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1

Dean, William E. How low can an unmanned air vehicle fly? Santa Monica, CA: Rand, 1990.

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2

B, Craft James, Johnson Richard G, and Dryden Flight Research Facility, eds. Remote control of an impact demonstration vehicle. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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3

Steven, Legowik, Nashman Marilyn, and National Institute of Standards and Technology (U.S.), eds. Obstacle detection and mapping system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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4

Horton, Timothy W. Flight test experience and controlled impact of a remotely piloted jet transport aircraft. Edwards, Calif: Ames Research Center, 1988.

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5

United States. Naval Meteorology and Oceanography Command. and Naval Research Laboratory (U.S.), eds. Review of autonomous underwater vehicle (AUV) developments. Stennis Space Center, Miss: Naval Oceanographic and Atmospheric Research Laboratory, 2001.

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6

Billings, Deborah R. Effects of input device and latency on performance while training to pilot a simulated micro-unmanned aerial vehicle. Arlington, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2008.

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7

National Research Council (U.S.). Committee on Autonomous Vehicles in Support of Naval Operations. Autonomous vehicles in support of naval operations. Washington, D.C: National Academies Press, 2005.

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8

Chao, Haiyang. Remote sensing and actuation using networked unmanned vehicles. Hoboken, New Jersey: Wiley-IEEE Press, 2012.

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9

Richbourg, R. F. Exploiting capability constraints to solve global, two dimensional path planning problems. Monterey, California: Naval Postgraduate School, 1986.

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10

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development., ed. Technical evaluation report on the Guidance and Control Panel symposium on guidance and control of unmanned air vehicles. Neuilly sur Seine, France: AGARD, 1989.

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11

Vaughn, Gregory M. Hybrid state estimators for the control of remotely operated underwater vehicles. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1988.

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12

Ing, Dean. Loose cannon. New York: Forge, 2000.

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13

United States. Dept. of Defense., ed. Unmanned systems roadmap: 2007-2032. Washington, D.C: Dept. of Defense, 2007.

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14

Yip, Long P. Static wind-tunnel and radio-controlled flight test investigation of a remotely piloted vehicle having a delta wing planform. Hampton, Va: Langley Research Center, 1990.

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15

Yip, Long P. Static wind-tunnel and radio-controlled flight test investigation of a remotely piloted vehicle having a delta wing planform. Hampton, Va: Langley Research Center, 1990.

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16

Gerhart, Grant R. Unmanned systems technology X: 17-20 March 2008, Orlando, Florida, USA. Edited by Society of Photo-optical Instrumentation Engineers. Bellingham, Wash: SPIE, 2008.

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17

ROV Conference and Exposition (1992 San Diego, Calif.). Intervention/ROV '92 conference & exposition. San Diego, Calif: Intervention/ROV 92 Committee of the Marine Technology Society, 1992.

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18

Society, Royal Aeronautical, and University of Bristol, eds. Remotely piloted vehicles: Sixth international conference, Bristol, UK, 6-8 April, 1987. [Bristol]: University of Bristol, 1987.

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19

Anderson, Donna L. Framework for autonomous navigation of a continuous mining machine: Face navigation. Pittsburgh, PA: U.S. Dept. of the Interior, Bureau of Mines, 1989.

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20

Anderson, Donna L. Framework for autonomous navigation of a continuous mining machine: Face navigation. Washington, DC: Dept. of the Interior, 1989.

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21

Dana, Purifoy, and NASA Dryden Flight Research Center., eds. Operational concepts for uninhabited tactical aircraft. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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22

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Guidance and control of unmanned air vehicles. Neuilly Sur Seine, France: AGARD, 1989.

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23

R, Gerhart Grant, Shoemaker Chuck M, Gage Douglas W. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned ground vehicle technology IV: 2-3 April, 2002, Orlando, [Florida] USA. Bellingham, Wash: SPIE, 2002.

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24

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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25

MacDonald, Gordon S. Model based design and verification of a rapid dive controller for an Autonomous Underwater Vehicle. Monterey, Calif: Naval Postgraduate School, 1989.

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26

R, Gerhart Grant, Gage Douglas W. 1945-, Shoemaker Chuck M, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned systems technology IX: 9-12 April, 2007, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2007.

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27

Sauzé, Colin. Robotic Sailing 2012: Proceedings of the 5th International Robotic Sailing Conference. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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28

Intervention, '89 Conference and Exposition (1989 San Diego Calif ). Intervention '89 conference and exposition. San Diego, Calif: Marine Technology Society, 1989.

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29

Intervention '89 Conference and Exposition (1989 San Diego, Calif.). Intervention '89 Conference and Exposition: March 14-16, 1989, Town & Country Hotel Convention Center, San Diego, California. San Diego, CA: The Society, 1989.

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30

National Research Council (U.S.). Committee on Army Unmanned Ground Vehicle Technology. and National Research Council (U.S.). Board on Army Science and Technology., eds. Technology development for Army unmanned ground vehicles. Washington, D.C: National Academies Press, 2002.

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31

McConkle, Corinne. A prototype simulation system for combat vehicle coordination and motion visualization. Monterey, California: Naval Postgraduate School, 1988.

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32

R, Gerhart Grant, Abbott Ben Allen, and Society of Photo-optical Instrumentation Engineers., eds. Robotic and semi-robotic ground vehicle technology: 15-16 April 1998, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1998.

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33

Office, General Accounting. Aquila remotely piloted vehicle: Recent developments and alternatives : briefing report to the Chairman, Committee on Governmental Affairs, U.S. Senate. Washington, D.C: The Office, 1986.

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34

Deets, Dwain A. HiMAT flight program: Test results and program assessment overview. Edwards, Calif: Ames Research Center, 1986.

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35

Gerhart, Grant R. Unmanned systems technology XII: 6-9 April 2010, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2010.

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36

Sutton, R., and G. N. Roberts. Further Advances in Unmanned Marine Vehicles. Institution of Engineering & Technology, 2012.

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37

Further Advances In Unmanned Marine Vehicles. Institution of Engineering & Technology (IET), 2012.

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38

Grauer, Jared A., and James E. Hubbard Jr. Flight Dynamics and System Identification for Modern Feedback Control: Avian-Inspired Robots. Elsevier Science & Technology, 2013.

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39

Sutton, R., and G. N. Roberts. Advances in Unmanned Marine Vehicles. Institution of Engineering & Technology, 2006.

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40

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2019.

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41

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2020.

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42

Insaurralde, Carlos C. C. Intelligent Autonomy for Unmanned Marine Vehicles: Robotic Control Architecture Based on Service-Oriented Agents. Springer, 2016.

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43

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control. MIT Press, 2021.

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44

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2018.

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45

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2020.

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46

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2020.

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47

Ferrari, Silvia, and Thomas A. Wettergren. Information-Driven Planning and Control: Adaptive Management of Sensor Networks. Taylor & Francis Group, 2020.

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48

Watson, Joseph Leonard. Design of an unmanned automatic guided vehicle. 1988.

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49

Cares, Jeffrey R., and Dickmann John Q. Jr. Operations Research for Unmanned Systems. Wiley & Sons, Incorporated, John, 2016.

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50

Cares, Jeffrey R., and Dickmann John Q. Jr. Operations Research for Unmanned Systems. Wiley & Sons, Limited, John, 2016.

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