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Geometric and Numerical Foundations of Movements: Springer Tracts in Advanced Robotics, cartea 117

Editat de Jean-Paul Laumond, Nicolas Mansard, Jean-Bernard Lasserre
en Limba Engleză Hardback – 10 mai 2017
This book aims at gathering roboticists, control theorists, neuroscientists, and mathematicians, in order to promote a multidisciplinary research on movement analysis. It follows the workshop “ Geometric and Numerical Foundations of Movements ” held at LAAS-CNRS in Toulouse in November 2015[1]. Its objective is to lay the foundations for a mutual understanding that is essential for synergetic development in motion research. In particular, the book promotes applications to robotics --and control in general-- of new optimization techniques based on recent results from real algebraic geometry.

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Specificații

ISBN-13: 9783319515465
ISBN-10: 3319515462
Pagini: 403
Ilustrații: X, 419 p. 106 illus.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.78 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Springer Tracts in Advanced Robotics

Locul publicării:Cham, Switzerland

Cuprins

From the content: Geometry, Action and Movement.- Numerical Analyzis and Optimization.- Foundation of Human Movement.

Textul de pe ultima copertă

This book aims at gathering roboticists, control theorists, neuroscientists, and mathematicians, in order to promote a multidisciplinary research on movement analysis. It follows the workshop “ Geometric and Numerical Foundations of Movements ” held at LAAS-CNRS in Toulouse in November 2015[1]. Its objective is to lay the foundations for a mutual understanding that is essential for synergetic development in motion research. In particular, the book promotes applications to robotics --and control in general-- of new optimization techniques based on recent results from real algebraic geometry.


Caracteristici

Promotes a multidisciplinary research on movement analysis for and by roboticists, control theorists, neuroscientists, and mathematicians Lays the foundations for a mutual understanding that is essential for synergetic development in motion research Provides an opportunity to promote and discuss applications to robotics and control in general of new recent optimization techniques based on results from real algebraic geometry Includes supplementary material: sn.pub/extras