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Geometric and Numerical Fou...

Geometric and Numerical Foundations of Movements

Laumond, Jean-Paul,

Mansard, Nicolas,

Lasserre, Jean-Bernard,

Springer International Publishing 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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Artificial intelligence Geometry Neurosciences Electronic data processing Robotics and Automation Artificial Intelligence Numeric Computing

Monografía

monografia Rebiun22923502 https://catalogo.rebiun.org/rebiun/record/Rebiun22923502 cr nn 008mamaa 170502s2017 gw s 00 0 eng d 9783319515472 9783319515465 9783319515489 9783319846804 10.1007/978-3-319-51547-2 doi UMA.RE TJFM1 bicssc TEC037000 bisacsh TEC004000 bisacsh 629.892 23 Geometric and Numerical Foundations of Movements Recurso electrónico] edited by Jean-Paul Laumond, Nicolas Mansard, Jean-Bernard Lasserre Cham Springer International Publishing 2017 Cham Cham Springer International Publishing Cham Springer International Publishing Imprint: Springer 2017 Cham Cham Springer International Publishing Imprint: Springer X, 419 p. 106 il X, 419 p. 106 il Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Advanced Robotics 117 From the content: Geometry, Action and Movement -- Numerical Analyzis and Optimization -- Foundation of Human Movement 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 Artificial intelligence Geometry Neurosciences Electronic data processing Robotics and Automation. Artificial Intelligence. Geometry. Neurosciences. Numeric Computing. Artificial intelligence Geometry Neurosciences Electronic data processing Robotics and Automation Artificial Intelligence Numeric Computing Laumond, Jean-Paul ed. lit Mansard, Nicolas ed. lit Lasserre, Jean-Bernard ed. lit 3-319-51546-2 Springer Tracts in Advanced Robotics 117

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monografia Rebiun22923502 https://catalogo.rebiun.org/rebiun/record/Rebiun22923502 cr nn 008mamaa 170502s2017 gw s 00 0 eng d 9783319515472 9783319515465 9783319515489 9783319846804 10.1007/978-3-319-51547-2 doi UMA.RE TJFM1 bicssc TEC037000 bisacsh TEC004000 bisacsh 629.892 23 Geometric and Numerical Foundations of Movements Recurso electrónico] edited by Jean-Paul Laumond, Nicolas Mansard, Jean-Bernard Lasserre Cham Springer International Publishing 2017 Cham Cham Springer International Publishing Cham Springer International Publishing Imprint: Springer 2017 Cham Cham Springer International Publishing Imprint: Springer X, 419 p. 106 il X, 419 p. 106 il Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Advanced Robotics 117 From the content: Geometry, Action and Movement -- Numerical Analyzis and Optimization -- Foundation of Human Movement 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 Artificial intelligence Geometry Neurosciences Electronic data processing Robotics and Automation. Artificial Intelligence. Geometry. Neurosciences. Numeric Computing. Artificial intelligence Geometry Neurosciences Electronic data processing Robotics and Automation Artificial Intelligence Numeric Computing Laumond, Jean-Paul ed. lit Mansard, Nicolas ed. lit Lasserre, Jean-Bernard ed. lit 3-319-51546-2 Springer Tracts in Advanced Robotics 117