Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems
Author:
Affiliation:
1. University of Illinois,Department of Mechanical and Industrial Engineering,Chicago,IL,USA,60607
2. DEVCOM Army Research Laboratory,Los Angeles,CA,USA,90094
3. DEVCOM Army Research Laboratory, Aberdeen Proving Grounds,Aberdeen,MD,USA,21005
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10416762/10416768/10416777.pdf?arnumber=10416777
Reference25 articles.
1. UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance
2. Cooperative Path Planning of UAVs & UGVs for a Persistent Surveillance Task in Urban Environments
3. Cooperative Routing Problem for Ground Vehicle and Unmanned Aerial Vehicle: The Application on Intelligence, Surveillance, and Reconnaissance Missions
4. A Hybrid Path Planning Method in Unmanned Air/Ground Vehicle (UAV/UGV) Cooperative Systems
5. Heuristics for Routing Heterogeneous Unmanned Vehicles with Fuel Constraints
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1. Optimizing Routes of Heterogenous Unmanned Systems using Supervised Learning in a Multi-Agent Framework: A computational study;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04
2. A Robust UAV-UGV Collaborative Framework for Persistent Surveillance in Disaster Management Applications;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04
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