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Books on the topic 'Modeling a humanoid robot'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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1

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

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2

Spong, Mark W. Robot modeling and control. John Wiley & Sons, 2006.

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3

Seth, Hutchinson, and Vidyasagar M. 1947-, eds. Robot modeling and control. John Wiley & Sons, 2005.

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4

Bruno, Siciliano, ed. Modeling and control of robot manipulators. McGraw-Hill, 1996.

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5

Azad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Springer-Verlag Berlin Heidelberg, 2009.

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6

Dombre, Etienne, and Wisama Khalil, eds. Modeling, Performance Analysis and Control of Robot Manipulators. ISTE, 2007. http://dx.doi.org/10.1002/9780470612286.

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7

E, Dombre, and Khalil W, eds. Modeling, performance analysis and control of robot manipulators. ISTE, 2007.

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8

Ciszewski, Michał, Mariusz Giergiel, Tomasz Buratowski, and Piotr Małka. Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42715-3.

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9

1954-, Freeman Robert Arthur, Tesar Delbert, and United States. National Aeronautics and Space Administration., eds. Modeling and simulation of a Stewart Platform type parallel structure robot. University of Texas at Austin, Mechanical Engineering Dept., 1989.

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10

Pal, Rajarshi. Innovative research in attention modeling and computer vision applications. Information Science Reference, 2016.

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11

Armstrong, Brian Stewart Randall. Dynamics for robot control: Friction modeling and ensuring excitation during parameter identification. Dept. of Computer Science, Stanford University, 1988.

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12

Arnon, Iris N. Modeling human hand and muscle characteristics for the improvement of robot actuation. National Library of Canada, 1990.

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13

Fumagalli, Matteo. Increasing perceptual skills of robots through proximal force/torque sensors: A study for the implementation of active compliance on the iCub humanoid robot. Springer, 2014.

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14

Zhang, Yunong. Repetitive Motion Planning and Control of Redundant Robot Manipulators. Springer Berlin Heidelberg, 2013.

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15

Laliberte, Matthieu. Dynamic modeling and control of a multi-robot system during assembly of flexible payloads with kinematic uncertainty. National Library of Canada, 1996.

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16

International Symposium on Robot Manipulators, Modeling, Control, and Education (1986 Albuquerque, N.M). Recent trends in robotics: Modeling, control, and education : proceedings of the International Symposium on Robot Manipulators, Modeling, Control and Education, heldNovember 12-14, 1986, in Albuquerque, New Mexico, U.S.A. Edited by Jamshidi Mohammad, Luh J. Y. S, and Shahinpoor Mohsen. North-Holland, 1986.

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17

International, Symposium on Robot Manipulators: Modeling Control and Education. Recent trends in robotics: Modeling, control, and education : proceedings of the International Symposium on Robot Manipulators: Modeling, Control, and Education, held November 12-14, 1986, in Albuquerque, New Mexico, U.S.A. North-Holland, 1986.

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18

RoManSy, (14th 2002 Udine Italy). RoManSy 14: Theory and practice of robots and manipulators : proceedings of the Fourteenth CISM-IFToMM Symposium. Springer, 2002.

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19

United States. National Aeronautics and Space Administration., ed. Automated data acquisition technology development: Automated modeling and control development : final technical report. National Aeronautics and Space Administration, 1995.

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20

Nenchev, Dragomir N., Atsushi Konno, and Teppei Tsujita. Humanoid Robots: Modeling and Control. Elsevier Science & Technology Books, 2018.

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21

Nenchev, Dragomir N., Atsushi Konno, and Teppei Tsujita. Humanoid Robots: Modeling and Control. Butterworth-Heinemann, 2018.

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22

Shackelford, Maria. Humanoid Robot: What You Should Know. Independently Published, 2022.

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23

Hutchinson, Seth, M. Vidyasagar, and Mark W. Spong. Robot Modeling and Control. Wiley & Sons, Incorporated, John, 2020.

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24

Robot Modeling and Control. Wiley & Sons, Limited, John, 2020.

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25

Hutchinson, Seth, M. Vidyasagar, and Mark W. Spong. Robot Modeling and Control. Wiley & Sons, Limited, John, 2027.

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26

Hutchinson, Seth, M. Vidyasagar, and Mark W. Spong. Robot Modeling and Control. Wiley & Sons, Incorporated, John, 2020.

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27

Robot Modeling & Kinematics (Computer Engineering). Charles River Media, 2006.

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28

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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29

Herrmann, Guido, Adam Spiers, and Said Ghani Khan. Biologically Inspired Control of Humanoid Robot Arms: Robust and Adaptive Approaches. Springer International Publishing AG, 2016.

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30

Herrmann, Guido, Adam Spiers, and Said Ghani Khan. Biologically Inspired Control of Humanoid Robot Arms: Robust and Adaptive Approaches. Springer London, Limited, 2016.

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31

Thakur, Ashish, Aayush Dhiman, and Sudhir Kumar. Modeling and Designing Bipedal Walking Robot. Independently Published, 2018.

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32

Sciavicco, Lorenzo. Modeling and Control of Robot Manipulators. Mcgraw-Hill College, 1995.

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33

Benson, Russell. Modeling and control of robot manipulators. 1986.

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34

Pop, A., and Abigail Pop. QR Code Reading Through a Humanoid Robot: Python Techinques for QR Code Reading. Independently Published, 2019.

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35

Dombre, Etienne, and Wisama Khalil. Robot Manipulators: Modeling, Performance Analysis and Control. Wiley & Sons, Incorporated, John, 2010.

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36

Robot Manipulators: Modeling, Performance Analysis and Control. Wiley & Sons, Incorporated, John, 2010.

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37

Dombre, Etienne, and Wisama Khalil. Robot Manipulators: Modeling, Performance Analysis and Control. Wiley & Sons, Incorporated, John, 2013.

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38

Dombre, Etienne, and Wisama Khalil. Robot Manipulators: Modeling, Performance Analysis and Control. Wiley & Sons, Incorporated, John, 2013.

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39

Ruderman, Michael. Elastic Robot Joints: Advanced Modeling and Control. Taylor & Francis Group, 2023.

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40

Modeling Robot Swarms Using Agent-Based Simulation. Storming Media, 2002.

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41

Robots With 19 Pieces to Build a Model of a Humanoid Robot Master Engineer. Silver Dolphin, 2010.

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42

Azad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Springer, 2012.

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43

Bachiller, Pilar. Attentional Behaviors for Environment Modeling by a Mobile Robot. INTECH Open Access Publisher, 2011.

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44

Efficient 3d Scene Modeling And Mosaicing. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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45

Ciszewski, Michał, Tomasz Buratowski, Mariusz Giergiel, and Piotr Małka. Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection. Springer International Publishing AG, 2021.

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46

Buratowski, Tomasz, Mariusz Giergiel, Piotr Małka, and Michał Ciszewski. Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection. Springer, 2020.

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47

TWO COLLABORATIVE ROBOT MANIPULATORS HANDLING A FLEXIBLE OBJECT: Modeling, Control, and Analysis. LAP LAMBERT Academic Publishing, 2011.

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48

Sciavicco. Modeling and Control of Robot Manipulators (McGraw-Hill Series in Electrical & Computer Engi). McGraw Hill Higher Education, 1995.

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49

(Editor), Etienne Dhombre, and Wisama Khalil (Editor), eds. Robot Manipulators: Modeling, Performance Analysis, and Control (Control Systems, Robotics, and Manufacturing series). ISTE Publishing Company, 2006.

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50

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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