Landing a UAV in Harsh Winds and Turbulent Open Waters

M., Gupta, Parakh; Pairet, Èric; Nascimento, Tiago P.; Saska, Martin

doi:10.1109/lra.2022.3231831

Cited by 13 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another application tackled by the MRS system is the employment of UAVs in a marine environment [19,34,56]. Our UAVs were modified by integrating the principles and theoretical backgrounds of the behaviors of a UAV and/or a swarm of UAVs.…”

Section: Marine Environment Applicationsmentioning

confidence: 99%

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Heřt

Báča

Petráček

et al. 2023

J Intell Robot Syst

View full text Add to dashboard Cite

This paper presents a modular autonomous Unmanned Aerial Vehicle (UAV) platform called the Multi-robot Systems (MRS) Drone that can be used in a large range of indoor and outdoor applications. The MRS Drone features unique modularity with respect to changes in actuators, frames, and sensory configuration. As the name suggests, the platform is specially tailored for deployment within a MRS group. The MRS Drone contributes to the state-of-the-art of UAV platforms by allowing smooth real-world deployment of multiple aerial robots, as well as by outperforming other platforms with its modularity. For real-world multi-robot deployment in various applications, the platform is easy to both assemble and modify. Moreover, it is accompanied by a realistic simulator to enable safe pre-flight testing and a smooth transition to complex real-world experiments. In this manuscript, we present mechanical and electrical designs, software architecture, and technical specifications to build a fully autonomous multi UAV system. Finally, we demonstrate the full capabilities and the unique modularity of the MRS Drone in various real-world applications that required a diverse range of platform configurations.

show abstract

Section: Marine Environment Applicationsmentioning

confidence: 99%

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Heřt

Báča

Petráček

et al. 2023

J Intell Robot Syst

View full text Add to dashboard Cite

show abstract

“…Traditionally, emission monitoring systems have relied on predictive wind models to estimate plume trajectories. These models, while useful, often fall short of capturing the dynamic and complex nature of maritime wind patterns [5,6], leading to potential inaccuracies in emission tracking and assessment [7].…”

Section: Introductionmentioning

confidence: 99%

Maritime Emission Monitoring: Development and Testing of a UAV-Based Real-Time Wind Sensing Mission Planner Module

Karachalios,

Moschos,

Orphanoudakis

2024

Sensors

View full text Add to dashboard Cite

Maritime emissions contribute significantly to global pollution, necessitating accurate and efficient monitoring methods. Traditional methods for tracking ship emissions often face limitations in real-time data accuracy, with wind measurement being a critical yet challenging aspect. This paper introduces an innovative mission planner module for unmanned aerial vehicles (UAVs) that leverages onboard wind sensing capabilities to enhance maritime emission monitoring. The module’s primary objective is to assist operators in making informed decisions by providing real-time wind data overlays, thus optimizing flight paths and data collection efficiency. Our experimental setup involves the testing of the module in simulated maritime environments, demonstrating its efficacy in varying wind conditions. The real-time wind data overlays provided by the module enable UAV operators to adjust their flight paths dynamically, reducing unnecessary power expenditure and mitigating the risks associated with low-battery scenarios, especially in challenging maritime conditions. This paper presents the implementation of real-time wind data overlays on an open-source state-of-the-art mission planner as a C# plugin that is seamlessly integrated into the user interface. The factors that affect performance, in terms of communication overheads and real-time operation, are identified and discussed. The operation of the module is evaluated in terms of functional integration and real-time visual representation of wind measurements, and the enhanced situational awareness that it can offer to mission controllers is demonstrated. Beyond presenting a novel application of UAV technology in environmental monitoring, we also provide an extensive discussion of how this work will be extended in the context of complete aerial environmental inspection missions and the future directions in research within the field that can potentially lead to the modernization of maritime emission monitoring practices.

show abstract

Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-inspired Wing

Stiemer,

Groves-Raines,

Wood

et al. 2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Landing a UAV in Harsh Winds and Turbulent Open Waters

Cited by 13 publications

References 23 publications

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Maritime Emission Monitoring: Development and Testing of a UAV-Based Real-Time Wind Sensing Mission Planner Module

Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-inspired Wing

Contact Info

Product

Resources

About