Coordinated route planning of multiple fuel-constrained unmanned aerial systems with recharging on an unmanned ground vehicle for mission coverage

S Ramasamy, JPF Reddinger, JM Dotterweich… - Journal of Intelligent & …, 2022 - Springer
Abstract Small Unmanned Aerial Systems (sUAS) such as quadcopters are ideal for aerial
surveillance because of their runway independence, terrain-agnostic maneuverability, low …

Heterogenous vehicle routing: comparing parameter tuning using genetic algorithm and bayesian optimization

S Ramasamy, MS Mondal… - 2022 International …, 2022 - ieeexplore.ieee.org
Heterogeneous vehicles (eg, unmanned ground vehicle (UGV) and unmanned aerial
vehicle (UAV)) are best suited for surveillance application over large areas. UAVs are fast …

Completion Time Minimization for UAV-UGV-Enabled Data Collection

Z Li, W Zhao, C Liu - Sensors, 2022 - mdpi.com
In unmanned aerial vehicle (UAV)-enabled data collection systems, situations where sensor
nodes (SNs) cannot upload their data successfully to the UAV may exist, due to factors such …

Threat-oriented collaborative path planning of unmanned reconnaissance mission for the target group

Q Chen, Q Zhao, Z Zou - Aerospace, 2022 - mdpi.com
Unmanned aerial vehicle (UAV) cluster combat is a typical example of an intelligent cluster
application, and it is characterized by its large scale, low cost, retrievability, and intra-cluster …

Iterative Planning for Multi-Agent Systems: An Application in Energy-Aware UAV-UGV Cooperative Task Site Assignments

N Thelasingha, AA Julius, J Humann… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper presents an iterative planning framework for multi-agent systems with hybrid
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 …

Extensions of receding horizon task assignment for area coverage in dynamic environments

Y Hong, S Jung, S Kim, J Cha - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a task reassignment strategy that can flexibly handle changes in
dynamic environments. Most existing studies have only considered static environments …

[HTML][HTML] Математическая модель и алгоритмы управления группой наземных роботов с перераспределением энергетических ресурсов

КД Крестовников - Информационно-управляющие системы, 2023 - cyberleninka.ru
Введение: использование нескольких гомогенных или гетерогенных роботов для
решения целевых задач дает преимущества в виде снижения затрат времени или …

Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems

MS Mondal, S Ramasamy, JD Humann… - … Symposium on Multi …, 2023 - ieeexplore.ieee.org
Fast moving unmanned aerial vehicles (UAVs) are well suited for aerial surveillance, but are
limited by their battery capacity. To increase their endurance, UAVs can be refueled on slow …

Algorithm for Interaction of UAVs and Ground-Based Robotic Systems for Collaboration Operations over Vast Territory

V Lebedeva, A Erashov - 2023 International Russian …, 2023 - ieeexplore.ieee.org
This work proposes group interaction algorithms that take into account not only the different
functionality of the robotic systems, but also their state and sensor data, which rebuild paths …