Abstract
This paper describes recent results from the Georgia Institute of Technology to develop, improve, and flight test a multi-aircraft collaborative architecture, focused on decentralized autonomous decision-making. The architecture includes a search coverage algorithm, behavior estimation, and a pursuit algorithm designed to solve a scenario-driven challenge problem. The architecture was implemented on a pair of Yamaha RMAX helicopters outfitted with modular avionics, as well as an associated set of simulation tools. Simulation and flight test results for single- and multipleaircraft scenarios are presented. Further work suggested includes identification and development of more sophisticated methods that can replace the simpler elements in modular fashion.
| Original language | English (US) |
|---|---|
| Title of host publication | 70th American Helicopter Society International Annual Forum 2014 |
| Publisher | American Helicopter Society |
| Pages | 2638-2646 |
| Number of pages | 9 |
| ISBN (Print) | 9781632666918 |
| State | Published - Jan 1 2014 |
| Event | 70th American Helicopter Society International Annual Forum 2014 - Montreal, QC, Canada Duration: May 20 2014 → May 22 2014 |
Publication series
| Name | Annual Forum Proceedings - AHS International |
|---|---|
| Volume | 4 |
| ISSN (Print) | 1552-2938 |
Other
| Other | 70th American Helicopter Society International Annual Forum 2014 |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 5/20/14 → 5/22/14 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Collaborative search and pursuit for autonomous helicopters. / Johnson, Eric; Mooney, John G.
70th American Helicopter Society International Annual Forum 2014. American Helicopter Society, 2014. p. 2638-2646 (Annual Forum Proceedings - AHS International; Vol. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Collaborative search and pursuit for autonomous helicopters
AU - Johnson, Eric
AU - Mooney, John G.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This paper describes recent results from the Georgia Institute of Technology to develop, improve, and flight test a multi-aircraft collaborative architecture, focused on decentralized autonomous decision-making. The architecture includes a search coverage algorithm, behavior estimation, and a pursuit algorithm designed to solve a scenario-driven challenge problem. The architecture was implemented on a pair of Yamaha RMAX helicopters outfitted with modular avionics, as well as an associated set of simulation tools. Simulation and flight test results for single- and multipleaircraft scenarios are presented. Further work suggested includes identification and development of more sophisticated methods that can replace the simpler elements in modular fashion.
AB - This paper describes recent results from the Georgia Institute of Technology to develop, improve, and flight test a multi-aircraft collaborative architecture, focused on decentralized autonomous decision-making. The architecture includes a search coverage algorithm, behavior estimation, and a pursuit algorithm designed to solve a scenario-driven challenge problem. The architecture was implemented on a pair of Yamaha RMAX helicopters outfitted with modular avionics, as well as an associated set of simulation tools. Simulation and flight test results for single- and multipleaircraft scenarios are presented. Further work suggested includes identification and development of more sophisticated methods that can replace the simpler elements in modular fashion.
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UR - http://www.scopus.com/inward/citedby.url?scp=84906667933&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84906667933
SN - 9781632666918
T3 - Annual Forum Proceedings - AHS International
SP - 2638
EP - 2646
BT - 70th American Helicopter Society International Annual Forum 2014
PB - American Helicopter Society
ER -