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Agile autonomy = learning high-speed...

Loquercio, Antonio.

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Agile autonomy = learning high-speed vision-based flight /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Agile autonomy/ by Antonio Loquercio.
Reminder of title:	learning high-speed vision-based flight /
Author:	Loquercio, Antonio.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xx, 55 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1: Introduction -- 2: Contribution -- 3: Future Directions.
Contained By:	Springer Nature eBook
Subject:	Robot vision. -
Online resource:	https://doi.org/10.1007/978-3-031-27288-2
ISBN:	9783031272882

Agile autonomy = learning high-speed vision-based flight /
Loquercio, Antonio.

Agile autonomylearning high-speed vision-based flight /[electronic resource] :by Antonio Loquercio. - Cham :Springer Nature Switzerland :2023. - xx, 55 p. :ill. (some col.), digital ;24 cm. - Springer tracts in advanced robotics,v. 1531610-742X ;. - Springer tracts in advanced robotics ;v. 153..

1: Introduction -- 2: Contribution -- 3: Future Directions.

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.

ISBN: 9783031272882

Standard No.: 10.1007/978-3-031-27288-2doiSubjects--Topical Terms:

674122
Robot vision.

LC Class. No.: TJ211.3 / .L67 2023

Dewey Class. No.: 629.892637

Agile autonomy = learning high-speed vision-based flight /
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245 1 0 $a Agile autonomy $h [electronic resource] : $b learning high-speed vision-based flight / $c by Antonio Loquercio.
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300 $a xx, 55 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer tracts in advanced robotics, $x 1610-742X ; $v v. 153
505 0 $a 1: Introduction -- 2: Contribution -- 3: Future Directions.
520 $a 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.
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