Journal
IEEE COMPUTER ARCHITECTURE LETTERS
Volume 19, Issue 1, Pages 38-42Publisher
IEEE COMPUTER SOC
DOI: 10.1109/LCA.2020.2981022
Keywords
Robot sensing systems; Computational modeling; Unmanned aerial vehicles; Acceleration; Visualization; Heuristic algorithms; Cyber-physical system; system architecture; performance model; aerial autonomous machines; robot learning
Categories
Funding
- U.S. Government, under the DARPA DSSoC program
- SRC
- NSF IIS award [1724197]
- Intel
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1724197] Funding Source: National Science Foundation
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We introduce the Formula-1 (F-1) roofline model to understand the role of computing in aerial autonomous machines. The model provides insights by exploiting the fundamental relationships between various components in an aerial robot, such as sensor framerate, compute performance, and body dynamics (physics). F-1 serves as a tool that can aid computer and cyber-physical system architects to understand the optimal design (or selection) of various components in the development of autonomous machines.
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