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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
Attention for Chapter 5: Some Recent Directions in Algebraic Methods for Optimization and Lyapunov Analysis
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Chapter title
Some Recent Directions in Algebraic Methods for Optimization and Lyapunov Analysis
Chapter number 5
Book title
Geometric and Numerical Foundations of Movements
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-51547-2_5
Book ISBNs
978-3-31-951546-5, 978-3-31-951547-2
Authors

Amir Ali Ahmadi, Pablo A. Parrilo

Editors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Unknown 1 100%

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