Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications

Chai, Runqi; Guo, Yunlong; Zuo, Zongyu; Chen, Kaiyuan; Shin, Hyo-Sang; Tsourdos, Antonios

doi:10.1016/j.paerosci.2024.101005

Cited by 16 publications

(1 citation statement)

References 111 publications

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“…When these two systems work effectively together, they can overcome the limitations of a single system and achieve wider surveillance coverage, more efficient data collection, and greater mission adaptability. By using appro-priate optimization strategies, it is possible to ensure that UGVs and UAVs achieve optimal path planning and decision-making when performing common tasks, thus improving the performance of the entire surveillance network [212][213][214][215]. In our previous content, we mentioned that UAVs need to consider optimization metrics such as optimal coverage, optimal quality of surveillance coverage, or quality of surveillance service (QoC/QoS) when performing surveillance tasks, which is a relatively well-solved problem for single UAVs, whereas for multiple UAVs, more constraint variables and optimization complexity pose more challenges, and in the surveillance process must also consider obstacle avoidance, thus requiring researchers to propose new feasible algorithms.…”

Section: Surveillance Network Of Cooperating Unmanned Vehiclesmentioning

confidence: 99%

Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Fang,

Savkin

2024

Drones

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This review paper provides insights into optimization strategies for Unmanned Aerial Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning to complex mission execution, we comprehensively evaluate the multifaceted role of UAVs in critical areas such as infrastructure inspection, security surveillance, environmental monitoring, archaeological research, mining applications, etc. The paper analyzes in detail the effectiveness of UAVs in specific tasks, including power line and bridge inspections, search and rescue operations, police activities, and environmental monitoring. The focus is on the integration of advanced navigation algorithms and artificial intelligence technologies with UAV surveillance and the challenges of operating in complex environments. Looking ahead, this paper predicts trends in cooperative UAV surveillance networks and explores the potential of UAVs in more challenging scenarios. This review not only provides researchers with a comprehensive analysis of the current state of the art, but also highlights future research directions, aiming to engage and inspire readers to further explore the potential of UAVs in surveillance missions.

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Section: Surveillance Network Of Cooperating Unmanned Vehiclesmentioning

confidence: 99%

Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Fang,

Savkin

2024

Drones

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Mixed‐Integer Motion Planning for Nonholonomic Robots Under Visible Light Communication Constraints

Caregnato‐Neto,

Maximo,

Afonso

2024

Optim Control Appl Methods

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This work is concerned with the problem of motion planning for a group of nonholonomic robots under Visible Light Communication (VLC) connectivity requirements. Recently, multi‐robot systems operating with VLC networks have been demonstrated as an attractive solution for inspection tasks in pipelines and underground facilities. However, there are still no established methodologies to automate their operation. We address this problem with an optimization framework based on Mixed‐Integer Linear Programming (MILP) to design a motion planner that safely coordinates the robot team while jointly addressing the nonlinearity of the robots' dynamics, the directed line‐of‐sight requirement for VLC connections, and the connectivity maintenance of the ensuing directed networks. We propose a novel method to encode the nonlinear dynamics of nonholonomic robots into the MILP formulation and demonstrate through comparative trials that, although the resulting optimization search space is more restricted, the approach still outperforms mixed‐integer nonlinear programming in terms of optimization time and solution quality. The efficacy of the proposal is also demonstrated through realistic simulations of the Turtlebot3 robot platform.

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Architecture and Applications of IoT Devices in Socially Relevant Fields

Lakshman,

Akash,

Cynthia

et al. 2024

SN COMPUT. SCI.

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Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications

Cited by 16 publications

References 111 publications

Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Mixed‐Integer Motion Planning for Nonholonomic Robots Under Visible Light Communication Constraints

Architecture and Applications of IoT Devices in Socially Relevant Fields

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