The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems

S Wilson, P Glotfelter, L Wang, S Mayya… - IEEE Control …, 2020 - ieeexplore.ieee.org
Distributed control has emerged as a major focus in the systems and controls area, with
multiagent robotics playing a prominent role both as a canonical instantiation of a system …

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

SPH Boroujeni, A Razi, S Khoshdel, F Afghah… - Information …, 2024 - Elsevier
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

A survey on robotic technologies for forest firefighting: Applying drone swarms to improve firefighters' efficiency and safety

JJ Roldán-Gómez, E González-Gironda, A Barrientos - Applied sciences, 2021 - mdpi.com
Forest firefighting missions encompass multiple tasks related to prevention, surveillance,
and extinguishing. This work presents a complete survey of firefighters on the current …

[PDF][PDF] 海上无人系统集群发展现状及关键技术研究进展

谢伟, 陶浩, 龚俊斌, 罗威, 尹逢川… - 中国舰船 …, 2021 - xn--fiqs8sd02az8bs9ntb.com
海上无人系统集群作战正在从概念走向实装应用. 着眼于海上无人系统集群作战任务的需要,
总结无人机集群, 水面无人艇集群, 无人水下机器人集群和跨域无人系统集群的国内外发展现状 …

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

E Seraj, A Silva, M Gombolay - Autonomous Agents and Multi-Agent …, 2022 - Springer
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been
commissioned by researchers to enable accurate, online wildfire coverage and tracking …

[PDF][PDF] Development of fire fighting robot (QROB)

M Aliff, NS Sani, MI Yusof, A Zainal - International Journal of …, 2019 - academia.edu
Fire incident is a disaster that can potentially cause the loss of life, property damage and
permanent disability to the affected victim. They can also suffer from prolonged …

Coordinated control of uavs for human-centered active sensing of wildfires

E Seraj, M Gombolay - 2020 American control conference (ACC …, 2020 - ieeexplore.ieee.org
Fighting wildfires is a precarious task, imperiling the lives of engaging firefighters and those
who reside in the fire's path. Firefighters need online and dynamic observation of the firefront …

[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators

MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

Wildfire front monitoring with multiple uavs using deep q-learning

A Viseras, M Meissner, J Marchal - IEEE Access, 2021 - ieeexplore.ieee.org
Wildfires destroy thousands of hectares every summer all over the globe. To provide an
effective response and to mitigate wildfires impact, firefighters require a real-time monitoring …

A forest fire susceptibility modeling approach based on integration machine learning algorithm

C Shi, F Zhang - Forests, 2023 - mdpi.com
The subjective and empirical setting of hyperparameters in the random forest (RF) model
may lead to decreased model performance. To address this, our study applies the particle …