Agile autonomy : learning high-speed vision-based flight / Antonio Loquercio.
2023
TJ211.3 .L67 2023
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Agile autonomy : learning high-speed vision-based flight / Antonio Loquercio.
Author
ISBN
9783031272882 electronic book
3031272889 electronic book
9783031272875 print
3031272870
3031272889 electronic book
9783031272875 print
3031272870
Published
Cham, Switzerland : Springer, 2023.
Language
English
Description
1 online resource (xx, 55 pages) : illustrations (some color).
Item Number
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
Linked Resources
Record Appears in
Table of Contents
1: Introduction
2: Contribution
3: Future Directions.
2: Contribution
3: Future Directions.