New Trends in Robotics: Automation and Autonomous Systems

Topic Information

Dear Colleagues,

The field of robotics is at the forefront of transformative innovations, with automation and autonomous systems driving intelligent manufacturing, AI-driven industries, and the evolution of smart factories. These advancements are integral to Industry 4.0 and 5.0, reshaping global industries through enhanced efficiency, precision, and adaptability. Key trends include the integration of predictive maintenance, additive manufacturing, collaborative robots (Cobots), autonomous navigation systems, and intelligent supply chains into complex environments. This Topic seeks to highlight cutting-edge research and development in areas such as intelligent manufacturing, machine learning applications in robotics, and next-generation AI technologies. By addressing challenges like human–robot collaboration, ethical frameworks, and system scalability, this collection will shape the future of automation and robotics as critical enablers of modern industry. Researchers and practitioners are invited to contribute innovations that redefine how robotics augments human capabilities in diverse domains.

Prof. Dr. Maki Habib
Prof. Dr. Fusaomi Nagata
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Actuators actuators	2.2	3.9	2012	17.7 Days	CHF 2400	Submit
Automation automation	-	2.9	2020	24.1 Days	CHF 1000	Submit
Electronics electronics	2.6	5.3	2012	16.4 Days	CHF 2400	Submit
Machines machines	2.1	3.0	2013	15.5 Days	CHF 2400	Submit
Robotics robotics	2.9	6.7	2012	21 Days	CHF 1800	Submit
Eng eng	-	2.1	2020	21.5 Days	CHF 1200	Submit
Technologies technologies	4.2	6.7	2013	21.1 Days	CHF 1600	Submit

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Published Papers (1 paper)

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All Actuators Automation Electronics Machines Robotics Eng Technologies

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25 pages, 1931 KiB  

Open AccessArticle

Geometric Path Planning and Synchronization for Multiple Vehicles

by Hongjun Yu and Lanyong Zhang

Robotics 2025, 14(4), 47; https://doi.org/10.3390/robotics14040047 - 11 Apr 2025

Viewed by 152

Abstract

In known environments, vehicles plan paths to the target and take precautions to minimize risks. Due to limited dynamics, bounded turning radii, and unfavorable initial conditions, they may be momentarily exposed to threats. In this study, we propose multi-objective real-time optimization based on [...] Read more.

In known environments, vehicles plan paths to the target and take precautions to minimize risks. Due to limited dynamics, bounded turning radii, and unfavorable initial conditions, they may be momentarily exposed to threats. In this study, we propose multi-objective real-time optimization based on Dubins paths for multiple vehicles. They synchronize target arrival by reasonably changing speeds and selecting paths of similar lengths. The closer the threats are to the robots and the target, the more path options are available. Risk is reduced in path planning by minimizing the duration of exposure to threats. Vehicles strike a balance between exposure to threats and travel time to targets. We use a probability-based approach to reduce the computation burden and select satisfactory paths such that vehicles synchronize target arrival reasonably far away from threats. The performances of the proposed methods are verified in several simulation examples. Full article

(This article belongs to the Topic New Trends in Robotics: Automation and Autonomous Systems)

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