Algorithmic Foundations of Robotics XIV - Proceedings of the Fourteenth Workshop on the Algorithmic Foundations of Robotics (Hardcover, 1st ed. 2021)

This proceedings book helps bring insights from this array of technical sub-topics together, as advanced robot algorithms draw on the combined expertise of many fields-including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science. Intelligent robots and autonomous systems depend on algorithms that efficiently realize functionalities ranging from perception to decision making, from motion planning to control. The works collected in this SPAR book represent the state of the art in algorithmic robotics. They originate from papers accepted to the 14th International Workshop on the Algorithmic Foundations of Robotics (WAFR), traditionally a biannual, single-track meeting of leading researchers in the field of robotics. WAFR has always served as a premiere venue for the publication of some of robotics' most important, fundamental, and lasting algorithmic contributions, ensuring the rapid circulation of new ideas. Though an in-person meeting was planned for June 15-17, 2020, in Oulu, Finland, the event ended up being canceled owing to the infeasibility of international travel during the global COVID-19 crisis.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Advanced Robotics, 17
Release date:	February 2021
First published:	2021
Editors:	Steven M. LaValle • Ming Lin • Timo Ojala • Dylan Shell • Jingjin Yu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	568
Edition:	1st ed. 2021
ISBN-13:	978-3-03-066722-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-03-066722-7
Barcode:	9783030667221

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