Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees

Seraj, Esmaeil; Silva, Andrew; Gombolay, Matthew

doi:10.1007/s10458-022-09566-6

Cited by 28 publications

(4 citation statements)

References 81 publications

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“…In , we tackle this problem by designing a model-reference multi-agent adaptive controller that achieves team convergence even for a network of robots with a disconnected communication graph. I studied the problem of coordinated planning of a heterogeneous multi-UAV team at the high-level decision-making and the low-level control for cooperative surveillance and tracking of a restless environment in (Seraj, Chen, and Gombolay 2021;Seraj, Silva, and Gombolay 2022). In particular, in Seraj, Chen, and Gombolay (2021), I develop an efficient hierarchical coordination framework for a composite robot team composed of perception-only and action-only agents.…”

Section: Model-based Multi-agent Planning and Control Methodsmentioning

confidence: 99%

Embodied, Intelligent Communication for Multi-Agent Cooperation

Seraj

2023

AAAI

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High-performing human teams leverage intelligent and efficient communication and coordination strategies to collaboratively maximize their joint utility. Inspired by teaming behaviors among humans, I seek to develop computational methods for synthesizing intelligent communication and coordination strategies for collaborative multi-robot systems. I leverage both classical model-based control and planning approaches as well as data-driven methods such as Multi-Agent Reinforcement Learning (MARL) to provide several contributions towards enabling emergent cooperative teaming behavior across both homogeneous and heterogeneous (including agents with different capabilities) robot teams.

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Section: Model-based Multi-agent Planning and Control Methodsmentioning

confidence: 99%

Embodied, Intelligent Communication for Multi-Agent Cooperation

Seraj

2023

AAAI

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“…Багато залежить від архітектури підсистем drone. Їх взаємодії між собою та взаємодії їх елементів, між собою [11].…”

Section: виклад основного матеріалуunclassified

Аналіз Існуючих Підходів До Розрахунку Кількісної Оцінки Живучості Drones

Lebediev,

Bondar,

Samoilenko

et al. 2024

CNCS

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На сьогоднішній день живучість відображає стійкість до диструктивних впливів як окремих підсистем drone, так і drone загалом. Така живучість закладена в алгоритмічну частину підсистем drone і дозволяє у разі виникнення нештатних ситуацій змінювати послідовність роботи підсистем drone. При вирішенні задачі аналізу та синтезу елементів підсистем drone, оперують кількісною оцінкою живучості. Це необхідно для визначення, з якою ймовірністю відмови окремих елементів будь-якої підсистеми drone призведуть до пошкодження drone. В даний час серед розробників drones не існує єдиної думки для визначення кількісної оцінки живучості drones. Дуже багато залежить від архітектури підсистем drone, їх взаємодії між собою та взаємодії їх елементів між собою. Ця стаття присвячена дослідженню підходів до розрахунку кількісної оцінки живучості drones на етапі проектування.

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“…Fixed-wing UAVs excel in long endurance and broad coverage, making them ideal for initial wildfire detection and continuous monitoring [13]. Multirotor UAVs offer maneuverability and precision, essential for navigating complex terrains and assessing fire-affected areas in detail [14]. Integrating multi-UAV systems enables cooperative surveillance, ensuring quality of service and efficient resource allocation [14].…”

Section: Introductionmentioning

confidence: 99%

“…Multirotor UAVs offer maneuverability and precision, essential for navigating complex terrains and assessing fire-affected areas in detail [14]. Integrating multi-UAV systems enables cooperative surveillance, ensuring quality of service and efficient resource allocation [14]. These UAVs are typically part of a larger network including ground stations that manage communications, control, and critical data processing for timely and effective wildfire response.…”

Section: Introductionmentioning

confidence: 99%

A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management

Perikleous,

Koustas,

Velanas

et al. 2024

Drones

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Our study introduces a new approach, leveraging robotics technology and remote sensing for multifaceted applications in forest and wildfire management. Presented in this paper is PULSAR, an innovative UAV with reconfigurable capabilities, able of operating as a quadcopter, a co-axial quadcopter, and a standalone octocopter. Tailored to diverse operational requirements, PULSAR accommodates multiple payloads, showcasing its adaptability and versatility. This paper meticulously details material selection and design methods, encompassing both initial and detailed design, while the electronics design section seamlessly integrates essential avionic components. The 3D drone layout design, accomplished using SOLIDWORKS, enhances understanding by showcasing all three different configurations of PULSAR’s structure. Serving a dual purpose, this study highlights UAV applications in forest and wildfire management, particularly in detailed forest mapping, edge computing, and cartographic product generation, as well as detection and tracking of elements, illustrating how a UAV can be a valuable tool. Following the analysis of applications, this paper presents the selection and integration of payloads onto the UAV. Simultaneously, each of the three distinct UAV configurations is matched with a specific forest application, ensuring optimal performance and efficiency. Lastly, computational validation of the UAV’s main components’ structural integrity is achieved through finite element analysis (FEA), affirming the absence of issues regarding stress and displacement. In conclusion, this research underscores the efficacy of PULSAR, marking a significant leap forward in applying robotics technology for wildfire science.

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Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees

Cited by 28 publications

References 81 publications

Embodied, Intelligent Communication for Multi-Agent Cooperation

Embodied, Intelligent Communication for Multi-Agent Cooperation

Аналіз Існуючих Підходів До Розрахунку Кількісної Оцінки Живучості Drones

A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management

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