Routing UAVs in landslides Monitoring: A neural network heuristic for team orienteering with mandatory visits
Unmanned aerial vehicles (UAVs) are widely used for surveillance in both civilian and
military scenarios. The utilization of UAVs provides an opportunity for monitoring landslide …
military scenarios. The utilization of UAVs provides an opportunity for monitoring landslide …
Optimizing Drone Delivery Paths from Shared Bases: A Location-Routing Problem with Realistic Energy Constraints
M Meskar, A Ahmadi-Javid - Journal of Intelligent & Robotic Systems, 2024 - Springer
Recently, Amazon patented fulfillment centers for drones on a large scale in densely
populated areas. A network of such shared centers can be used for landing and launching …
populated areas. A network of such shared centers can be used for landing and launching …
Iterative Planning for Multi-Agent Systems: An Application in Energy-Aware UAV-UGV Cooperative Task Site Assignments
This paper presents an iterative planning framework for multi-agent systems with hybrid
state spaces. The framework uses transition systems to mathematically represent planning …
state spaces. The framework uses transition systems to mathematically represent planning …
Solving Vehicle Routing Problem for Unmanned Heterogeneous Vehicle Systems using Asynchronous Multi-Agent Architecture (A-teams)
S Ramasamy, MS Mondal… - 2023 International …, 2023 - ieeexplore.ieee.org
Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-
moving unmanned ground vehicles (UGVs) to cooperatively perform tasks over wide areas …
moving unmanned ground vehicles (UGVs) to cooperatively perform tasks over wide areas …
Deep Learning–based Reassembling of an Aerial & Legged Marsupial Robotic System–of–Systems
P Arora, T Karakurt, E Avlonitis… - 2023 International …, 2023 - ieeexplore.ieee.org
In this work we address the System-of-Systems reassembling operation of a marsupial team
comprising a hybrid Unmanned Aerial Vehicle and a Legged Locomotion robot, relying …
comprising a hybrid Unmanned Aerial Vehicle and a Legged Locomotion robot, relying …
Use of the DIBR-grey EDAS model of MCDM to the selection of a combat unmanned ground platform
M Radovanović, D Božanić… - Operations …, 2024 - orel.unionnikolatesla.edu.rs
The paper presents a hybrid model of choosing a combat unmanned ground platform using
the DIBR and grey–EDAS (G-EDAS) method. This model has been tested and confirmed on …
the DIBR and grey–EDAS (G-EDAS) method. This model has been tested and confirmed on …
Geometric zoning and selective routing for surveillance and coverage operations
M El Yafrani, DK Kılıç, F Miehe… - Engineering …, 2024 - Taylor & Francis
Taking fast action, and effectively utilizing the available resources, are important when
conducting time-critical surveillance missions. In addition, the potential complexity of the …
conducting time-critical surveillance missions. In addition, the potential complexity of the …
An Attention-aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Unmanned aerial vehicles (UAVs) possess the capability to survey vast areas, yet their
operational range is limited by their battery capacity. Deploying mobile recharging stations …
operational range is limited by their battery capacity. Deploying mobile recharging stations …
OptiRoute: A Heuristic-assisted Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Unmanned aerial vehicles (UAVs) are capable of surveying expansive areas, but their
operational range is constrained by limited battery capacity. The deployment of mobile …
operational range is constrained by limited battery capacity. The deployment of mobile …
Optimizing Routes of Heterogenous Unmanned Systems using Supervised Learning in a Multi-Agent Framework: A computational study
Fast-paced but power-hungry Unmanned Aerial Vehicles (UAV) may collaborate with slow-
paced Unmanned Ground Vehicles (UGV) acting as mobile recharging depots to perform …
paced Unmanned Ground Vehicles (UGV) acting as mobile recharging depots to perform …