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Fast, autonomous flight in GPS‐denied and cluttered environments

Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo J. Taylor, Vijay Kumar

Year
2017
Citations
196
Access
Open access

Abstract

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.

Keywords

RobotGlobal Positioning SystemComponent (thermodynamics)A priori and a posterioriComputer scienceSoftwareReal-time computingArtificial intelligenceAutonomous robotArchitecture

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