Persistent Multi-Agent Search and Tracking with Flight Endurance Constraints

Gainer, John J.; Dawkins, Jeremy J.; DeVries, Levi; Kutzer, Michael D. M.

doi:10.3390/robotics8010002

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Indeed, in the literature, there is increasing reference made to the potential [28] of using UAVs as autonomous or semi-autonomous operating data acquisition platforms, often referred to as Mobile Sensing Platforms (MSPs). They can be equipped with state-of-the-art measurement instruments offering extremely high resolution and are ideally suited to access otherwise prohibitingly inaccessible locations or to operate in hostile environments that would be lethal to the human operator.…”

Section: Introductionmentioning

confidence: 99%

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

160

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The use of UAVs in areas ranging from agriculture over urban services to entertainment or simply as a hobby has rapidly grown over the last years. Regarding serious/commercial applications, UAVs have been considered in the literature, especially as mobile sensing/actuation platforms (i.e., as a delivery platform for an increasingly wide range of sensors and actuators). With regard to timely, cost-effective and very rich data acquisition, both, NEC Research as well as TNO are pursuing investigations into the use of UAVs and swarms of UAVs for scenarios where high-resolution requirements, prohibiting environments or tight time constraints render traditional approaches ineffective. In this review article, we provide a brief overview of safety and security-focused application areas that we identified as main targets for industrial and commercial projects, especially in the context of intelligent autonomous systems and autonomous/semi-autonomously operating swarms. We discuss a number of challenges related to the deployment of UAVs in general and to their deployment within the identified application areas in particular. As such, this article is meant to serve as a review and overview of the literature and the state-of-the-art, but also to offer an outlook over our possible (near-term) future work and the challenges that we will face there.

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Section: Introductionmentioning

confidence: 99%

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

160

View full text Add to dashboard Cite

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A Framework for Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance in a Continuous Space

Day

Salmon

2021

J Intell Robot Syst

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Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms

Husain

Zaabi

Hildmann

et al. 2022

Drones

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With the growing reliability of modern ad hoc networks, it is encouraging to analyze the potential involvement of autonomous ad hoc agents in critical situations where human involvement could be perilous. One such critical scenario is the Search and Rescue effort in the event of a disaster, in which timely discovery and help deployment is of utmost importance. This paper demonstrates the applicability of a bio-inspired technique, namely Ant Algorithms (AA), in optimizing the search time for a route or path to a trapped victim, followed by the application of Dijkstra’s algorithm in the rescue phase. The inherent exploratory nature of AA is put to use for faster mapping and coverage of the unknown search space. Four different AA are implemented, with different effects of the pheromone in play. An inverted AA, with repulsive pheromones, was found to be the best fit for this particular application. After considerable exploration, upon discovery of the victim, the autonomous agents further facilitate the rescue process by forming a relay network, using the already deployed resources. Hence, the paper discusses a detailed decision-making model of the swarm, segmented into two primary phases that are responsible for the search and rescue, respectively. Different aspects of the performance of the agent swarm are analyzed as a function of the spatial dimensions, the complexity of the search space, the deployed search group size, and the signal permeability of the obstacles in the area.

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Persistent Multi-Agent Search and Tracking with Flight Endurance Constraints

Cited by 3 publications

References 13 publications

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

A Framework for Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance in a Continuous Space

Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms

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