Agile autonomy : learning high-speed vision-based flight / Antonio Loquercio.
Loquercio, Antonio, author.
2023
TJ211.3 .L67 2023
Available Online

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Title Agile autonomy : learning high-speed vision-based flight / Antonio Loquercio.
Author Loquercio, Antonio, author.
ISBN 9783031272882 electronic book
3031272889 electronic book
9783031272875 print
3031272870
DOI https://doi.org/10.1007/978-3-031-27288-2
Published Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource (xx, 55 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-27288-2 doi
Call Number TJ211.3 .L67 2023
Dewey Decimal Classification 629.8/92637
Summary This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 2, 2023).
Series Springer tracts in advanced robotics ; v. 153. 1610-742X
Available in Other Form Print version: 9783031272875
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Record Appears in Online Resources > Ebooks
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1: Introduction
2: Contribution
3: Future Directions.

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