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	2.3	4.3	2012	19 Days	CHF 2400	Submit
Automation automation	2.0	4.1	2020	23.4 Days	CHF 1200	Submit
Electronics electronics	2.6	6.1	2012	16.8 Days	CHF 2400	Submit
Machines machines	2.5	4.7	2013	16.9 Days	CHF 2400	Submit
Robotics robotics	3.3	7.7	2012	21.8 Days	CHF 1800	Submit
Eng eng	2.4	3.2	2020	19.7 Days	CHF 1400	Submit
Technologies technologies	3.6	8.5	2013	21.8 Days	CHF 1600	Submit

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Published Papers (3 papers)

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All Actuators Automation Electronics Machines Robotics Eng Technologies

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27 pages, 2897 KiB  

Open AccessArticle

Methodology for Modeling Coupled Rigid Multibody Systems Using Unitary Quaternions: The Case of Planar RRR and Spatial PRRS Parallel Robots

by Francisco Cuenca Jiménez, Eusebio Jiménez López, Mario Acosta Flores, Francisco Ramón Peñuñuri Anguiano, Ricardo Javier Peón Escalante and Juan José Delfín Vázquez

Robotics 2025, 14(7), 94; https://doi.org/10.3390/robotics14070094 - 3 Jul 2025

Viewed by 228

Abstract

Quaternions are used in various applications, especially in those where it is necessary to model and represent rotational movements, both in the plane and in space, such as in the modeling of the movements of robots and mechanisms. In this article, a methodology [...] Read more.

Quaternions are used in various applications, especially in those where it is necessary to model and represent rotational movements, both in the plane and in space, such as in the modeling of the movements of robots and mechanisms. In this article, a methodology to model the rigid rotations of coupled bodies by means of unit quaternions is presented. Two parallel robots were modeled: a planar RRR robot and a spatial motion PRRS robot using the proposed methodology. Inverse kinematic problems were formulated for both models. The planar RRR robot model generated a system of 21 nonlinear equations and 18 unknowns and a system of 36 nonlinear equations and 33 unknowns for the case of space robot PRRS; both systems of equations were of the polynomial algebraic type. The systems of equations were solved using the Broyden–Fletcher–Goldfarb–Shanno nonlinear programming algorithm and Mathematica V12 symbolic computation software. The modeling methodology and the algebra of unitary quaternions allowed the systematic study of the movements of both robots and the generation of mathematical models clearly and functionally. Full article

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

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23 pages, 4415 KiB  

Open AccessArticle

Efficient and Effective Irrigation Water Management Using Sprinkler Robot

by Nabil Elkaoud, Saleh Ismail, Ragab Mahmoud, Hassan Taraby, Shuqi Shang, Dongwei Wang and Mostafa Rayan

Eng 2025, 6(7), 138; https://doi.org/10.3390/eng6070138 - 24 Jun 2025

Viewed by 621

Abstract

This manuscript addresses the issue of irrigation water management with high efficiency and effectiveness and focuses on systems associated with significant water losses, which is sprinkler irrigation. This article presents mathematical modeling that enables the application of precision irrigation using a gun sprinkler [...] Read more.

This manuscript addresses the issue of irrigation water management with high efficiency and effectiveness and focuses on systems associated with significant water losses, which is sprinkler irrigation. This article presents mathematical modeling that enables the application of precision irrigation using a gun sprinkler robot. The sprinkler robot was fabricated in the Faculty of Agriculture and Natural Resources workshop at As-wan University. The experiments were conducted using 12, 14, and 16 mm nozzle sizes and three gun heights, 1.25, 1.5, and 2 m, at three forward speeds, 25, 50, and 75 m/h. The results revealed that at nozzle 12, the actual wetted diameter would be less than the theoretical diameter by a percentage of 2–5%, while at nozzle 14, it ranged from 2 to 7%, but at nozzle 16, it increased from 6 to 9%. The values of evaporation and wind drift losses were always less than 2.8 mm. The highest efficiency was achieved at the lowest forward speed (25 m/h) and using a 1.5 m gun height. The highest water application efficiency was 81.8, 82.5, and 81.1% using nozzle 12, nozzle 14, and nozzle 16, respectively. Precise irrigation control using sensor and variable rate technology will be the preferred option in the future. Full article

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

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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 423

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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