Multi Agent Pathfinding for Noise Restricted Hybrid Fuel Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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Multi Agent Pathfinding for Noise Restricted Hybrid Fuel Unmanned Aerial Vehicles

Published:2024-07-10 Issue: Volume:6 Page:833-838
ISSN:
Container-title:2024 American Control Conference (ACC)
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Author:

Scott Drew¹,Manyam Satyanarayana G.²,Casbeer David W.³,Kumar Manish¹,Weintraub Isaac E.⁴

Affiliation:

1. University of Cincinnati,Department of Mechanical and Materials Engineering

2. Infoscitex corp., a DCS company,Research Scientist,Dayton,OH,45431

3. Technical Area Lead, Cooperative & Intelligent Control, Control Science Center,Air Force Research Laboratory, WPAFB,OH,45433

4. Electronics Engineer, Control Science Center,Air Force Research Laboratory, WPAFB,OH,45433

Funder

Ohio Department of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644872.pdf?arnumber=10644872

Reference22 articles.

1. An assessment of public perception of urban air mobility (UAM);Yedavalli;Airbus UTM: Defining Future Skies,2019

2. A comprehensive review of energy sources for unmanned aerial vehicles, their shortfalls and opportunities for improvements;Townsend;Heliyon,2020

3. Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks

4. On the Complexity of Motion Planning for Multiple Independent Objects; PSPACE- Hardness of the "Warehouseman's Problem"

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