Books on the topic 'Control and learning of soft robots'

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1

Stefan, Wermter, Palm Günther, and Elshaw Mark, eds. Biomimetic neural learning for intelligent robots: Intelligent systems, cognitive robotics, intelligent robots. Berlin: Springer, 2005.

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2

Design and control of intelligent robotic systems. Berlin: Springer, 2009.

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3

Towards real learning robots. Frankfurt am Main: Peter Lang, 2000.

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4

Towards real learning robots. Frankfurt am Main: Peter Lang, 1999.

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5

de, Velde Walter Van, ed. Toward learning robots. Cambridge, Mass: MIT Press, 1993.

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6

Crangle, Colleen. Language and learning for robots. Stanford, Calif: Center for the Study of Language and Information, 1994.

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7

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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8

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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9

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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10

1963-, Hirai Shinʼichi, ed. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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11

X, Liu John, ed. Control and learning in robotic systems. New York: Nova Science Publishers, 2005.

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12

C, Jain L., and Fukuda T. 1948-, eds. Soft computing for intelligent robotic systems. Heidelberg: Physica-Springer, 1998.

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13

IEEE/RSJ International Conference on Intelligent Robots and Systems (2008 Nice, France). From motor learning to interaction learning in robots. Berlin: Springer-Verlag, 2010.

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14

Katharina, Morik, Kaiser Michael, and Klingspor Volker, eds. Making robots smarter: Combining sensing and action through robot learning. Boston: Kluwer Academic, 1999.

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15

Associative learning for a robot intelligence. River Edge, NJ: Imperial College Press, 1998.

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16

Jeremy, Wyatt, and Demiris John 1969-, eds. Advances in robot learning: 8th European Workshop on Learning Robots, EWLR-8, Lausanne, Switzerland, September 18, 1999 : proceedings. New York: Springer, 2000.

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17

European Workshop on Learning Robots (1996 Brighton, England). Learning robots: 6th European Workshop, EWLR '96, Brighton, England, August 1996 : proceedings. Berlin: Springer, 1998.

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18

Tero, Karvinen, ed. Make Arduino bots and gadgets: Learning by discovery. Sebastopol, CA: O'Reilly, 2011.

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19

Jain, Lakhmi C. Soft Computing for Intelligent Robotic Systems. Heidelberg: Physica-Verlag HD, 1998.

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20

ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (2008 Edinburgh, Scotland). Proceedings, LAB-RS 2008: 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems : proceedings, 6-8 August 2008, Edinburgh, Scotland, United Kingdom. Los Alamitos, Calif: IEEE Computer Society, 2008.

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21

Stalph, Patrick. Analysis and design of machine learning techniques: Evolutionary solutions for regression, prediction, and control problems. Wiesbaden: Springer Vieweg, 2014.

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22

International Symposium on the Occasion of the 25th Anniversary of the McGill University Centre for Intelligent Machines. Brain, body and machine: Proceedings of an International Symposium on the Occasion of the 25th Anniversary of McGill University Centre for Intelligent Machines. Berlin: Springer, 2010.

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23

Marco, Colombetti, ed. Robot shaping: An experiment in behavior engineering. Cambridge, Mass: MIT Press, 1998.

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24

Wang, Lingfeng, Kay Chen Tan, and Dikai Liu. Design and Control of Intelligent Robotic Systems. Springer, 2009.

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25

Wang, Lingfeng, Kay Chen Tan, and Dikai Liu. Design and Control of Intelligent Robotic Systems. Springer, 2010.

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26

Wang, Lingfeng, Kay Chen Tan, and Dikai Liu. Design and Control of Intelligent Robotic Systems. Springer London, Limited, 2009.

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27

Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience (Lecture Notes in Computer Science). Springer, 2005.

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28

Metta, Giorgio. Humans and humanoids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0047.

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This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.
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29

Monje, Concepción A., and Cecilia Laschi, eds. Advances in Modelling and Control of Soft Robots. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-047-8.

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30

Fodor, János, and Robert Fullér. Advances in Soft Computing, Intelligent Robotics and Control. Springer, 2014.

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31

Fodor, János, and Robert Fullér. Advances in Soft Computing, Intelligent Robotics and Control. Springer London, Limited, 2014.

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32

Fuller, Robert, and Janos Fodor. Advances in Soft Computing, Intelligent Robotics and Control. Springer International Publishing AG, 2016.

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33

Hirai, Shinichi, and Takahiro Inoue. Mechanics and Control of Soft-Fingered Manipulation. Springer London, Limited, 2010.

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34

H, Connell Jonathan, and Mahadevan Sridhar 1960-, eds. Robot learning. Boston: Kluwer Academic Publishers, 1993.

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35

Soft Robots for Healthcare Applications: Design, Modelling, and Control. Institution of Engineering & Technology, 2017.

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36

Xie, S., M. Zhang, and W. Meng. Soft Robots for Healthcare Applications: Design, modelling, and control. Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/pbhe014e.

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37

Learning-Based Robot Vision. Springer, 2001.

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38

Making robots smarter: Combining sensing and action through robot learning. Boston: Kluwer Academic, 1999.

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39

(Editor), Katharina Morik, Michael Kaiser (Editor), and Volker Klingspor (Editor), eds. Making Robots Smarter - Combining Sensing and Action through Robot Learning. Springer, 1999.

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40

Pauli, Josef. Learning-Based Robot Vision: Principles and Applications. Springer London, Limited, 2003.

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41

Thrun, Sebastian, Judy A. Franklin, and Tom M. Mitchell. Recent Advances in Robot Learning: Machine Learning. Springer London, Limited, 2011.

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42

Thrun, Sebastian, Judy A. Franklin, and Tom M. Mitchell. Recent Advances in Robot Learning: Machine Learning. Springer, 2012.

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43

Thrun, Sebastian, Judy A. Franklin, and Tom M. Mitchell. Recent Advances in Robot Learning: Machine Learning. Springer London, Limited, 2012.

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44

1963-, Nehaniv Chrystopher L., and Dautenhahn Kerstin, eds. Imitation and social learning in robots, humans and animals: Behavioural, social and communicative dimensions. Cambridge, UK: Cambridge University Press, 2007.

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45

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2003.

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46

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2007.

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47

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2009.

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48

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2007.

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49

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2009.

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50

Nehaniv, Chrystopher L., and Kerstin Dautenhahn. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions. Cambridge University Press, 2007.

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