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Main Authors: Agarwal, Ritvik, Hatami, Behnoushsadat, Gautam, Alvika, Maini, Parikshit
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.20804
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author Agarwal, Ritvik
Hatami, Behnoushsadat
Gautam, Alvika
Maini, Parikshit
author_facet Agarwal, Ritvik
Hatami, Behnoushsadat
Gautam, Alvika
Maini, Parikshit
contents We consider an online variant of the fuel-constrained UAV routing problem with a ground-based mobile refueling station (FCURP-MRS), where targets incur unknown fuel costs. We develop a two-phase solution: an offline heuristic-based planner computes initial UAV and UGV paths, and a novel online planning algorithm that dynamically adjusts rendezvous points based on real-time fuel consumption during target processing. Preliminary Gazebo simulations demonstrate the feasibility of our approach in maintaining UAV-UGV path validity, ensuring mission completion. Link to video: https://youtu.be/EmpVj-fjqNY
format Preprint
id arxiv_https___arxiv_org_abs_2506_20804
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Online Planning for Cooperative Air-Ground Robot Systems with Unknown Fuel Requirements
Agarwal, Ritvik
Hatami, Behnoushsadat
Gautam, Alvika
Maini, Parikshit
Robotics
We consider an online variant of the fuel-constrained UAV routing problem with a ground-based mobile refueling station (FCURP-MRS), where targets incur unknown fuel costs. We develop a two-phase solution: an offline heuristic-based planner computes initial UAV and UGV paths, and a novel online planning algorithm that dynamically adjusts rendezvous points based on real-time fuel consumption during target processing. Preliminary Gazebo simulations demonstrate the feasibility of our approach in maintaining UAV-UGV path validity, ensuring mission completion. Link to video: https://youtu.be/EmpVj-fjqNY
title Online Planning for Cooperative Air-Ground Robot Systems with Unknown Fuel Requirements
topic Robotics
url https://arxiv.org/abs/2506.20804