Algorithmic Foundations of Robotics IX - Selected Contributions of the Ninth International Workshop on the Algorithmic Foundations of Robotics (Paperback, 2011 ed.)

Robotics is at the cusp of dramatic transformation. Increasingly complex robots with unprecedented autonomy are finding new applications, from medical surgery, to construction, to home services. Against this background, the algorithmic foundations of robotics are becoming more crucial than ever, in order to build robots that are fast, safe, reliable, and adaptive. Algorithms enable robots to perceive, plan, control, and learn. The design and analysis of robot algorithms raise new fundamental questions that span computer science, electrical engineering, mechanical engineering, and mathematics. These algorithms are also finding applications beyond robotics, for example, in modeling molecular motion and creating digital characters for video games and architectural simulation. The Workshop on Algorithmic Foundations of Robotics (WAFR) is a highly selective meeting of leading researchers in the field of robot algorithms. Since its creation in 1994, it has published some of the field's most important and lasting contributions. This book contains the proceedings of the 9th WAFR, held on December 13-15, 2010 at the National University of Singapore. The 24 papers included in this book span a wide variety of topics from new theoretical insights to novel applications.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Tracts in Advanced Robotics, 68
Release date:	October 2014
First published:	2011
Editors:	David Hsu • Volkan Isler • Jean-Claude Latombe • Ming C. Lin
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	428
Edition:	2011 ed.
ISBN-13:	978-3-642-42382-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-642-42382-5
Barcode:	9783642423826

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