Motion Planning of UAV Swarm: Recent Challenges and Approaches

Iqbal, Muhammad Mubashir; Ali, Zain Anwar; Khan, Rehan; Shafiq, Muhammad

doi:10.5772/intechopen.106270

Cited by 6 publications

(4 citation statements)

References 89 publications

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“…A recent review of AI applied to path planning in UAV swarms [33] discusses the latest developments in this field. The importance of motion planning in swarm behavior is highlighted in another paper that examines the motion planning of UAV swarms, recent challenges, and ap-proaches [127]. Additionally, a study on collaborative UAV swarms towards coordination and control mechanisms [128] proposes a method for the collaborative motion planning of UAV swarms.…”

Section: Swarm Behaviormentioning

confidence: 99%

“…Deploying UAV swarms in diverse environments introduces various hurdles, such as decision making, control, path planning, communication, monitoring, tracking, targeting, collision, and obstacle avoidance [122][123][124]127]. Additionally, concerns surrounding safety, privacy, security, and power in unmanned systems contribute to existing challenges.…”

Section: Open Issues and Future Research Directions For Uavs 101 Open...mentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

Telli,

Kraa,

Himeur

et al. 2023

Systems

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The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subdomains within UAV research, newcomers may find themselves overwhelmed by the numerous options available. It is therefore crucial for those involved in UAV research to recognize its interdisciplinary nature and its connections with other disciplines. This paper presents a comprehensive overview of the UAV field, highlighting recent trends and advancements. Drawing on recent literature reviews and surveys, the review begins by classifying UAVs based on their flight characteristics. It then provides an overview of current research trends in UAVs, utilizing data from the Scopus database to quantify the number of scientific documents associated with each research direction and their interconnections. This paper also explores potential areas for further development in UAVs, including communication, artificial intelligence, remote sensing, miniaturization, swarming and cooperative control, and transformability. Additionally, it discusses the development of aircraft control, commonly used control techniques, and appropriate control algorithms in UAV research. Furthermore, this paper addresses the general hardware and software architecture of UAVs, their applications, and the key issues associated with them. It also provides an overview of current open source software and hardware projects in the UAV field. By presenting a comprehensive view of the UAV field, this paper aims to enhance our understanding of this rapidly evolving and highly interdisciplinary area of research.

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Section: Swarm Behaviormentioning

confidence: 99%

Section: Open Issues and Future Research Directions For Uavs 101 Open...mentioning

confidence: 99%

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

Telli,

Kraa,

Himeur

et al. 2023

Systems

View full text Add to dashboard Cite

show abstract

“…Research Focus [45][46][47][48][49][50][51][52] Control algorithms [53][54][55][56] Motion planning techniques algorithms [57][58][59][60][61] Applications of UAV [62,63] Collision avoidance strategies [64,65] Navigation techniques [66,67] Guidance and Control algorithms [68] Kalman Filtering Techniques [69] 6G UAV communication [70] Open-source Hardware and Software Flight Control Platforms…”

Section: Referencementioning

confidence: 99%

Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective

Tahir

Mir

Islam

2023

Drones

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The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing unmanned aerial vehicles, it is highly desirable for them to be able to complete their missions with minimal human intervention. Reaching full autonomy requires a reliable and efficient control algorithm that can handle all flight conditions. Due to the confidential nature of UAV design and development, there is a lack of comprehensive literature on the subject. When it comes to the practical application of the ideas presented in the literature, the situation is even bleaker. This research not only examines the flight phases in which controllers and estimators are used for UAVs but also provides an in-depth analysis of the most recent and state-of-the-art control and estimate techniques for UAVs. Research opportunities and challenges specific to UAVs were also examined in this study in an effort to raise the bar for UAV design as a whole and smooth the way for researchers to go from simulation-based research to practical applications. This review paper establishes a foundation that not only investigates the inherent flight dynamics, control architecture, and Kalman estimators utilized in the development of UAVs but also points out the shortcomings that currently exist in research. A number of design considerations for realistic applications and potential studies are presented in the conclusion.

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“…To better deploy multi-robots, other research areas are task-based motion planning and obstacle avoidance protocols [5]. These approaches assist multiple robots to have a better knowledge of the environment while planning motion and executing tasks so that collision with the obstacles or other agents does not occur.…”

Section: Introductionmentioning

confidence: 99%

Survey of Methods Applied in Cooperative Motion Planning of Multiple Robots

Anwar Ali,

Israr,

Hasan

2023

Motion Planning for Dynamic Agents

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Recent advances in robotics, autonomous systems, and artificial intelligence (AI) enable robots to perform complex tasks such as delivery, surveillance, inspection, rescue, and others. However, they are unable to complete certain tasks independently due to specific restrictions. In the last few years, researchers are keenly interested in deploying multi-robots for such tasks due to their scalability, robustness, and efficiency. Multiple robots; mobile robots, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and unmanned underwater vehicles (UUVs); are gaining much momentum and versatility in their operations, whereas cooperative motion planning is a crucial aspect of incorporating these robots into boundless applications. The purpose of this review chapter is to present an insightful look into the problem of cooperative motion planning with its solution and a comprehensive assessment of various path-planning techniques, task-based motion planning techniques, and obstacle avoidance protocols. It further explores the role of AI in the motion planning of multi-robots. Moreover, it highlights various applications and existing issues in these applications that require future consideration. This review chapter implies that researchers, industries, and academia should aspire to cooperative motion planning for robotic expansions.

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Motion Planning of UAV Swarm: Recent Challenges and Approaches

Cited by 6 publications

References 89 publications

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective

Survey of Methods Applied in Cooperative Motion Planning of Multiple Robots

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