Title
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments.
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.
Year
DOI
Venue
2018
10.1002/rob.21774
JOURNAL OF FIELD ROBOTICS
Keywords
DocType
Volume
aerial robotics,collision avoidance,field robots,localization,mapping,motion and path planning,motion control,sensor fusion
Journal
35.0
Issue
ISSN
Citations 
SP1.0
1556-4959
10
PageRank 
References 
Authors
0.69
32
17
Name
Order
Citations
PageRank
Kartik Mohta120212.46
Michael Watterson2573.89
Yash Mulgaonkar323813.90
Sikang Liu4593.93
Chao Qu5457.86
Anurag Makineni6322.22
Kelsey Saulnier7252.74
Ke Sun8575.33
Alex Zihao Zhu9544.75
Jeffrey A. Delmerico10838.13
Konstantinos Karydis116514.74
Nikolay Atanasov1216224.84
Giuseppe Loianno1314413.94
Davide Scaramuzza142704154.51
Konstantinos Daniilidis153122255.45
Camillo J. Taylor162889403.50
Vijay Kumar177086693.29