Symmetry and Learning-Based Control Algorithms in Robotics and Mechatronic Systems
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 61
Special Issue Editors
Interests: mechatronics and robotics; linear and nonlinear control; kinematics and dynamics; optimization; AI
Interests: artificial intelligence and applications; cyber security; intelligence; robotics
Interests: signal processing and artificial intelligence application in predictive manufacturing; biomedical engineering; robotics and automation
Special Issue Information
Dear Colleagues,
The increasing integration of intelligent control systems and learning algorithms in robotics and mechatronics has revolutionized modern automation. This transformation is particularly evident in areas such as autonomous systems, collaborative robotics, and human–robot interactions. Symmetry and asymmetry, whether in robot structure, task planning, or control strategies, play a crucial role in optimizing system performance, robustness, and adaptability.
This Special Issue aims to collect high-quality original research and review articles addressing the theoretical and practical aspects of advanced control and learning approaches in robotic and mechatronic systems. Topics of interest include symmetry analysis in kinematics and dynamics, model-free and model-based learning, real-time motion planning, adaptive control, and applications in mobile, aerial, and assistive robotics.
We encourage contributions that present novel insights into system design, control architectures, and algorithmic approaches that leverage symmetry or challenge conventional symmetric assumptions for better performance. Submissions may include case studies, simulations, or real-world deployments that highlight advances in this rapidly evolving field.
Dr. Zied Ben Hazem
Dr. Firas Saidi
Dr. Rajkumar Palaniappan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- symmetry in robotics
- learning-based control
- adaptive systems
- nonlinear control
- deep reinforcement learning
- mechatronics applications
- collaborative robots
- motion planning
- fault-tolerant control
- sensor fusion
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