Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles

Meng Wang; Yang Zhao; Alex Doboli

doi:10.1109/AHS.2009.67

Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles

Meng Wang
, Yang Zhao
, Alex Doboli

Electrical Engineering

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Unmanned Autonomous Vehicles (UAVs) are emerging as a breakthrough concept in technology. A main challenge related to UAV control is devising flexible strategies with predictable performance in hard-to-predict conditions. This paper proposes an approach to performance predictive collaborative control of UAVs operating in environments with fixed targets. The paper offers detailed experimental insight on the quality, scalability and computational complexity of the proposed method.

Original language	English
Title of host publication	Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009
Pages	59-66
Number of pages	8
DOIs	https://doi.org/10.1109/AHS.2009.67
State	Published - 2009
Event	2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009 - San Francisco, CA, United States Duration: Jul 29 2009 → Aug 1 2009

Publication series

Name	Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009

Conference

Conference	2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009
Country/Territory	United States
City	San Francisco, CA
Period	07/29/09 → 08/1/09

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10.1109/AHS.2009.67

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title = "Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles",

abstract = "Unmanned Autonomous Vehicles (UAVs) are emerging as a breakthrough concept in technology. A main challenge related to UAV control is devising flexible strategies with predictable performance in hard-to-predict conditions. This paper proposes an approach to performance predictive collaborative control of UAVs operating in environments with fixed targets. The paper offers detailed experimental insight on the quality, scalability and computational complexity of the proposed method.",

author = "Meng Wang and Yang Zhao and Alex Doboli",

year = "2009",

doi = "10.1109/AHS.2009.67",

language = "English",

isbn = "9780769537146",

series = "Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009",

pages = "59--66",

booktitle = "Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009",

note = "2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009 ; Conference date: 29-07-2009 Through 01-08-2009",

}

Wang, M, Zhao, Y & Doboli, A 2009, Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles. in Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009., 5325472, Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009, pp. 59-66, 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009, San Francisco, CA, United States, 07/29/09. https://doi.org/10.1109/AHS.2009.67

Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles. / Wang, Meng; Zhao, Yang; Doboli, Alex.
Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009. 2009. p. 59-66 5325472 (Proceedings - 2009 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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M3 - Conference contribution

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ER -

Location-aware, flexible task management for collaborating Unmanned Autonomous Vehicles

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