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Books on the topic 'Biologically-inspired robots'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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1

L, Breazeal Cynthia, ed. Biologically inspired intelligent robots. Bellingham, Wash: SPIE Press, 2003.

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2

Hirose, Shigeo. Biologically inspired robots: Snake-like locomotors and manipulators. Oxford: Oxford University Press, 1993.

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3

Biologically inspired robots: Snake-like locomotors and manipulators. Oxford: Oxford University Press, 1993.

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4

service), SpringerLink (Online, ed. Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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5

Jakimovski, Bojan. Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22505-5.

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6

Claudio, Mattiussi, ed. Bio-inspired artificial intelligence: Theories, methods, and technologies. Cambridge, MA: MIT Press, 2009.

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7

Duro, Richard J., José Santos, and Manuel Graña, eds. Biologically Inspired Robot Behavior Engineering. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-7908-1775-1.

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8

Biologically inspired robotics. Boca Raton, FL: Taylor & Francis/CRC Press, 2011.

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9

Liu, Yunhui, and Dong Sun. Biologically inspired robotics. Boca Raton, FL: Taylor & Francis/CRC Press, 2011.

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10

Spiers, Adam, Said Ghani Khan, and Guido Herrmann. Biologically Inspired Control of Humanoid Robot Arms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30160-0.

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11

International Workshop on Biologically Inspired Robotics (2002 Bristol, England). Biologically inspired robotics: Papers of a theme issue. London: The Royal Society, 2003.

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12

King, Ralf Simon. BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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13

King, Ralf Simon. BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34682-8.

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14

Chella, Antonio. Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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15

Machado, Penousal. Evolutionary and Biologically Inspired Music, Sound, Art and Design: Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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16

Carlos, Martín Vide, Truthe Bianca, and SpringerLink (Online service), eds. Theory and Practice of Natural Computing: First International Conference, TPNC 2012, Tarragona, Spain, October 2-4, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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17

Bar-Cohen, Yoseph, and Cynthia Breazeal. Biologically Inspired Intelligent Robots. SPIE PRESS, 2003. http://dx.doi.org/10.1117/3.2068093.

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18

King, Ralf Simon. BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion. Springer, 2012.

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19

King, Ralf Simon. BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion. Springer, 2014.

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20

Kim, Minjun, Agung Julius, and U. Kei Cheang. Microbiorobotics: Biologically Inspired Microscale Robotic Systems. Elsevier Science & Technology Books, 2017.

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21

Kim, Minjun, and Julius Agung. Microbiorobotics: Biologically Inspired Microscale Robotic Systems. Elsevier Science & Technology Books, 2016.

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22

Microbiorobotics Biologically Inspired Microscale Robotic Systems. William Andrew Publishing, 2012.

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23

1966-, Arena Paolo, and International Centre for Mechanical Sciences., eds. Dynamical systems, wave-based computation and neuro-inspired robots. Wien: Springer, 2008.

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24

BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion (Biosystems & Biorobotics). Springer, 2012.

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25

Jakimovski, Bojan. Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots. Springer, 2016.

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26

Floreano, Dario, Ronald C. Arkin, and Claudio Mattiussi. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. MIT Press, 2008.

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27

Floreano, Dario, and Claudio Mattiussi. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. MIT Press, 2008.

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28

Floreano, Dario, and Claudio Mattiussi. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. MIT Press, 2008.

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29

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

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Abstract:
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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30

(Editor), Richard J. Duro, Jose Santos (Editor), and Manuel Grana (Editor), eds. Biologically Inspired Robot Behavior Engineering. Physica-Verlag Heidelberg, 2004.

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31

Liu, Yunhui. Biologically Inspired Robotics. Taylor & Francis, 2012.

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32

Amphibionics : Build Your Own Biologically Inspired Reptilian Robot. McGraw-Hill/TAB Electronics, 2003.

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33

Williams, Karl. Amphibionics : Build Your Own Biologically Inspired Reptilian Robot. McGraw-Hill/TAB Electronics, 2003.

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34

Herrmann, Guido, Adam Spiers, and Said Ghani Khan. Biologically Inspired Control of Humanoid Robot Arms: Robust and Adaptive Approaches. Springer, 2018.

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35

Carballal, Adrian, Penousal Machado, and James McDermott. Evolutionary and Biologically Inspired Music, Sound, Art and Design: Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, ... Springer, 2013.

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36

Dediu, Adrian-Horia, Carlos Martín-Vide, and Bianca Truthe. Theory and Practice of Natural Computing: First International Conference, TPNC 2012, Tarragona, Spain, October 2-4, 2012. Proceedings. Springer, 2012.

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37

Dediu, Adrian-Horia, Carlos Martín-Vide, and Manuel Lozano. Theory and Practice of Natural Computing: Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings. Springer, 2014.

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