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Books on the topic 'Mobile manipulator'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 March 2023

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1

Van Toan, Nguyen, and Phan Bui Khoi. A Robotic Framework for the Mobile Manipulator. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003352426.

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2

Hunter, David G. An overview of the space station Special Purpose Dexterous Manipulator (SPDM). [Ottawa]: National Research Council Canada, 1988.

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3

Chen, M. W. Dynamic modelling and genetic-based motion planning of mobile manipulator systems with nonholonomic constraints. Sheffield: University of Sheffield. Department of Automatic Control and Systems Engineering, 1995.

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4

Chen, Mingwu. A genetic approach to the motion planning of redundant mobile manipulator systems considering safety and configuration. Sheffield: University of Sheffield. Department of Automatic Control and Systems Engineering, 1995.

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5

Watkins, David Joseph. Learning Mobile Manipulation. [New York, N.Y.?]: [publisher not identified], 2022.

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6

Pitts, David Thomas. Dynamic analysis of mobile manipulators. Ottawa: National Library of Canada, 1999.

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7

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37160-8.

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8

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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9

Mazur, Alicja. Sterowanie oparte na modelu dla nieholonomicznych manipulatorów mobilnych. Wrocław: Oficyna Wydawnicza Politechiki Wrocławskiej, 2000.

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10

Cooperstock, Jeremy. A neural network operated vision-guided mobile robot arm for docking and reaching. Toronto: University of Toronto, Dept. of Computer Science, 1992.

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11

M, Choset Howie, Gage Douglas W. 1945-, Stein Matthew R, and Society of Photo-optical Instrumentation Engineers., eds. Mobile robots XV: And Telemanipulator and telepresence technologies VII : 5-6 November 2000, Boston, USA. Bellingham, Washington: SPIE, 2001.

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12

Khoi, Phan Bui. Robotic Framework for the Mobile Manipulator: Theory and Application. Taylor & Francis Group, 2023.

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13

Khoi, Phan Bui. Robotic Framework for the Mobile Manipulator: Theory and Application. Taylor & Francis Group, 2023.

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14

Zur Fehlerkompensation und Bahnkorrektur für eine mobile Großmanipulator-Anwendung. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997.

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15

Li, Zhijun. Fundamentals in Modeling and Control of Mobile Manipulators. Taylor & Francis Group, 2013.

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16

Ge, Shuzhi Sam, and Zhijun Li. Fundamentals in Modeling and Control of Mobile Manipulators. Taylor & Francis Group, 2016.

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17

Ge, Shuzhi Sam, and Zhijun Li. Fundamentals in Modeling and Control of Mobile Manipulators. Taylor & Francis Group, 2017.

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18

Ge, Shuzhi Sam, and Zhijun Li. Fundamentals in Modeling and Control of Mobile Manipulators. Taylor & Francis Group, 2016.

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19

Siciliano, Bruno. Advances in Control of Articulated and Mobile Robots. Gardners Books, 2010.

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20

Lin, Sheng. Robust and intelligent control of mobile manipulators. 2001.

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21

Fundamentals In Modeling And Control Of Mobile Manipulators. Taylor & Francis Inc, 2013.

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22

Lunia, Akshit, Ashley Stevens, Cavender Holt, Rhyan Morgan, Joshua Norris, Shailendran Poyyamozhi, and Yehua Zhong. Modeling, Motion Planning, and Control of Manipulators and Mobile Robots. Edited by Yue Wang. Clemson University Open Textbooks, 2022.

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23

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer, 2013.

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24

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer, 2013.

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25

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer Berlin / Heidelberg, 2015.

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26

(Editor), Howie M. Choset, Douglas W. Gage (Editor), and Matthew R. Stein (Editor), eds. Mobile Robots XV and Telemanipulator and Telepresence Technologies VII. SPIE-International Society for Optical Engine, 2001.

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27

Cutkosky, Mark R. Reach, grasp, and manipulate. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0030.

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This chapter seeks to identify principles that we can glean from nature regarding the design and operation of hands, and to show how they influence robotic hands and can improve their performance. The need to grasp and manipulate objects is faced by a wide range of animals, from insects to humans. The corresponding variety of solutions is immense, ranging from pincers to hands. However, a number of strategies appear repeatedly including the use of compliant, articulated appendages to achieve a large workspace and the use of automatic responses to tactile stimuli. Mobile robots face similar challenges and can exploit similar solutions. Numerical simulation is useful for analyzing hands that are required to grasp a range of objects and impart desired forces and motions. However, grasp simulation is inherently complex and the design search space is large. Hence, it is useful to examine natural exemplars to guide the design process.

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28

Guitar, Amanda E., and Rachael A. Carmen. Facebook Frenemies and Selfie-Promotion. Edited by Maryanne L. Fisher. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199376377.013.39.

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Human communication has been largely influenced by the global popularization of social network sites such as Facebook over the past decade. From PCs to mobile phones, humans can now communicate in ways never before experienced during our history on Earth; moreover, sites like Facebook are providing a novel platform for engaging in female intrasexual competition. Through cyberbullying, selfies, and Facebook “stalking,” females are engaging in traditional strategies of intrasexual competition (i.e., self-promotion, rival derogation, mate manipulation, and competitor manipulation) in an evolutionarily novel social environment. This chapter examines what is new about social interactions that take place online and what is an artifact of our evolutionary heritage. Additionally, it argues that the self-promoting material that Facebook users post to the site is indicative of underlying fitness; therefore Facebook postings are an example of a modern-day extended phenotype.

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29

Illes, Judy, ed. Neuroethics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786832.001.0001.

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We have new answers to how the brain works and tools which can now monitor and manipulate brain function. Rapid advances in neuroscience raise critical questions with which society must grapple. What new balances must be struck between diagnosis and prediction, and invasive and noninvasive interventions? Are new criteria needed for the clinical definition of death in cases where individuals are eligible for organ donation? How will new mobile and wearable technologies affect the future of growing children and aging adults? To what extent is society responsible for protecting populations at risk from environmental neurotoxins? As data from emerging technologies converge and are made available on public databases, what frameworks and policies will maximize benefits while ensuring privacy of health information? And how can people and communities with different values and perspectives be maximally engaged in these important questions? Neuroethics: Anticipating the Future is written by scholars from diverse disciplines—neurology and neuroscience, ethics and law, public health, sociology, and philosophy. With its forward-looking insights and considerations for the future, the book examines the most pressing current ethical issues.

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30

Longhi, Sauro, Alessandro Freddi, and Andrea Monteriù. Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems. Institution of Engineering & Technology, 2020.

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31

Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems. Institution of Engineering & Technology, 2020.

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