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A01=Antonio Loquercio
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Agile Autonomy: Learning High-Speed Vision-Based Flight

English

By (author): Antonio Loquercio

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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A01=Antonio LoquercioAge Group_UncategorizedAuthor_Antonio Loquercioautomatic-updateCategory1=Non-FictionCategory=TJFM1Category=TRPCategory=TTDSCategory=UYQCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€100 and abovePS=Activesoftlaunch

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Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 30 Apr 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031272875

About Antonio Loquercio

Antonio Loquercio is a robotics scientist and engineer originally from Naples Italy. He is a recipient of the ETH Medal for outstanding master thesis and the Georges Giralt Ph.D. award the most prestigious prize for a European dissertation in robotics. He is known for his research on high-performance agile robotics particularly for drones and legged robots. Growing up in the countryside near Rome he was always fascinated by the wonders of nature. The desire to understand and recreate such wonders motivated him to embark on a career in robotics. He was an undergraduate at the University of Rome Tor Vergata where he studied mechanical and electrical engineering. Afterward he moved to Zurich Switzerland where he was first a master's and then a graduate student at the Swiss Federal Institute of Technology (ETH) and the University of Zurich. He is currently a postdoctoral scholar at the University of California Berkeley. He has contributed more than 20 scientific papers in robotics and computer vision. His works were awarded several recognitions including the best system paper award at the conference on robot learning the best paper award honorable mention at the conference Robotics: Science and Systems and the Transaction on Robotics Best Paper Award honorable mention. 

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