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Geometric and Numerical Foundations of Movements

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Cover of 'Geometric and Numerical Foundations of Movements'

Table of Contents

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    Book Overview
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    Chapter 1 Robot Motion Planning and Control: Is It More than a Technological Problem?
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    Chapter 2 Several Geometries for Movements Generations
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    Chapter 3 On the Duration of Human Movement: From Self-paced to Slow/Fast Reaches up to Fitts’s Law
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    Chapter 4 Geometric and Numerical Aspects of Redundancy
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    Chapter 5 Some Recent Directions in Algebraic Methods for Optimization and Lyapunov Analysis
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    Chapter 6 Positivity Certificates in Optimal Control
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    Chapter 7 The Interplay Between Big Data and Sparsity in Systems Identification
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    Chapter 8 Inverse Optimal Control as a Tool to Understand Human Movement
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    Chapter 9 Versatile Interaction Control and Haptic Identification in Humans and Robots
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    Chapter 10 The Variational Principles of Action
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    Chapter 11 Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations
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    Chapter 12 Physical Interaction via Dynamic Primitives
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    Chapter 13 Human Control of Interactions with Objects – Variability, Stability and Predictability
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    Chapter 14 Momentum-Centered Control of Contact Interactions
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    Chapter 15 A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference
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    Chapter 16 Optimal Control of Variable Stiffness Policies: Dealing with Switching Dynamics and Model Mismatch
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Title
Geometric and Numerical Foundations of Movements
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-51547-2
ISBNs
978-3-31-951546-5, 978-3-31-951547-2
Editors

Jean-Paul Laumond, Nicolas Mansard, Jean-Bernard Lasserre

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Switzerland 1 2%
Turkey 1 2%
Netherlands 1 2%
Australia 1 2%
Canada 1 2%
Unknown 42 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 40%
Researcher 7 15%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 6 13%
Unknown 4 8%
Readers by discipline Count As %
Engineering 24 50%
Computer Science 10 21%
Agricultural and Biological Sciences 2 4%
Psychology 2 4%
Neuroscience 2 4%
Other 2 4%
Unknown 6 13%