Fast, autonomous flight in GPS‐denied and cluttered environments

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a priori knowledge of the operating environment. This challenge is addressed in the present paper. We describe th...

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Published inJournal of field robotics Vol. 35; no. 1; pp. 101 - 120
Main Authors Mohta, Kartik, Watterson, Michael, Mulgaonkar, Yash, Liu, Sikang, Qu, Chao, Makineni, Anurag, Saulnier, Kelsey, Sun, Ke, Zhu, Alex, Delmerico, Jeffrey, Karydis, Konstantinos, Atanasov, Nikolay, Loianno, Giuseppe, Scaramuzza, Davide, Daniilidis, Kostas, Taylor, Camillo Jose, Kumar, Vijay
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.01.2018
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Abstract One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a priori knowledge of the operating environment. This challenge is addressed in the present paper. We describe the system design and software architecture of our proposed solution and showcase how all the distinct components can be integrated to enable smooth robot operation. We provide critical insight on hardware and software component selection and development and present results from extensive experimental testing in real‐world warehouse environments. Experimental testing reveals that our proposed solution can deliver fast and robust aerial robot autonomous navigation in cluttered, GPS‐denied environments.
AbstractList One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a priori knowledge of the operating environment. This challenge is addressed in the present paper. We describe the system design and software architecture of our proposed solution and showcase how all the distinct components can be integrated to enable smooth robot operation. We provide critical insight on hardware and software component selection and development and present results from extensive experimental testing in real-world warehouse environments. Experimental testing reveals that our proposed solution can deliver fast and robust aerial robot autonomous navigation in cluttered, GPS-denied environments.
Author Zhu, Alex
Kumar, Vijay
Makineni, Anurag
Delmerico, Jeffrey
Scaramuzza, Davide
Karydis, Konstantinos
Atanasov, Nikolay
Daniilidis, Kostas
Mohta, Kartik
Loianno, Giuseppe
Liu, Sikang
Sun, Ke
Watterson, Michael
Saulnier, Kelsey
Qu, Chao
Mulgaonkar, Yash
Taylor, Camillo Jose
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Snippet One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its...
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SubjectTerms aerial robotics
Autonomous navigation
collision avoidance
field robots
Flight
Global positioning systems
GPS
localization
mapping
motion and path planning
motion control
Robots
Robustness (mathematics)
Satellite navigation systems
sensor fusion
Systems design
Title Fast, autonomous flight in GPS‐denied and cluttered environments
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frob.21774
https://www.proquest.com/docview/1977211891
Volume 35
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