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Reactive control of autonomous drones

Bregu, Endri (author)
Politecnico di Milano, Italy
Casamassima, Nicola (author)
Politecnico di Milano, Italy
Cantoni, Daniel (author)
Politecnico di Milano, Italy
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Mottolay, Luca (author)
RISE,SICS,Politecnico di Milano, Italy
Whitehouse, Kamin (author)
University of Virginia, USA
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 (creator_code:org_t)
2016-06-20
2016
English.
In: MobiSys 2016 - Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services. - New York, NY, USA : Association for Computing Machinery, Inc. - 9781450342698 ; , s. 207-219
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Aerial drones, ground robots, and aquatic rovers enable mobile applications that no other technology can realize with comparable flexibility and costs. In existing platforms, the low-level control enabling a drone's autonomous movement is currently realized in a time-triggered fashion, which simplifies implementations. In contrast, we conceive a notion of reactive control that supersedes the time-triggered approach by leveraging the characteristics of existing control logic and of the hardware it runs on. Using reactive control, control decisions are taken only upon recognizing the need to, based on observed changes in the navigation sensors. As a result, the rate of execution dynamically adapts to the circumstances. Compared to time-triggered control, this allows us to: i) attain more timely control decisions, ii) improve hardware utilization, iii) lessen the need to overprovision control rates. Based on 260+ hours of real-world experiments using three aerial drones, three different control logic, and three hardware platforms, we demonstrate, for example, up to 41% improvements in control accuracy and up to 22% improvements in flight time.

Keyword

Computer circuits
Drones
Hardware
Reconfigurable hardware
Robots
Unmanned aerial vehicles (UAV)
Autonomous movement
Control decisions
Hardware platform
Hardware utilization
Low level control
Mobile applications
Navigation sensors
Real world experiment
Aircraft control

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