A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots

Nour AbuJabal; Mohammed Baziyad; Raouf Fareh; Brahim Brahmi; Tamer Rabie; Maamar Bettayeb

doi:10.3390/s24248089

A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots

Nour AbuJabal, Mohammed Baziyad, Raouf Fareh^*, Brahim Brahmi^*, Tamer Rabie, Maamar Bettayeb

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.

Original language	English
Article number	8089
Journal	Sensors
Volume	24
Issue number	24
DOIs	https://doi.org/10.3390/s24248089
State	Published - Dec 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

behavior-based formation
centralized decision
decentralized decision
distributed decision
dynamic formation
formation control
hybrid decision
leader–follower
multi-robot
path planning
virtual formation

ASJC Scopus subject areas

Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/s24248089

Cite this

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title = "A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots",

abstract = "This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.",

keywords = "behavior-based formation, centralized decision, decentralized decision, distributed decision, dynamic formation, formation control, hybrid decision, leader–follower, multi-robot, path planning, virtual formation",

author = "Nour AbuJabal and Mohammed Baziyad and Raouf Fareh and Brahim Brahmi and Tamer Rabie and Maamar Bettayeb",

note = "Publisher Copyright: {\textcopyright} 2024 by the authors.",

year = "2024",

month = dec,

doi = "10.3390/s24248089",

language = "English",

volume = "24",

journal = "Sensors",

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AU - AbuJabal, Nour

AU - Baziyad, Mohammed

AU - Fareh, Raouf

AU - Brahmi, Brahim

AU - Rabie, Tamer

AU - Bettayeb, Maamar

PY - 2024/12

Y1 - 2024/12

N2 - This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.

AB - This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.

KW - behavior-based formation

KW - centralized decision

KW - decentralized decision

KW - distributed decision

KW - dynamic formation

KW - formation control

KW - hybrid decision

KW - leader–follower

KW - multi-robot

KW - path planning

KW - virtual formation

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DO - 10.3390/s24248089

M3 - Article

C2 - 39771824

AN - SCOPUS:85213289517

SN - 1424-8220

VL - 24

JO - Sensors

JF - Sensors

IS - 24

M1 - 8089

ER -

A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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