Latest Advancements in Symmetry and Asymmetry in Robotics and Mechatronics: Highlighting Emerging Trends and Their Intersections with Artificial Intelligence (AI), Machine Learning, Nonlinear Systems, and Control
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 14
Special Issue Editors
Interests: control; nonlinear mathematics; robotics and mechatronics
Interests: nonlinear dynamics; chaos; control and applications to engineering
Special Issues, Collections and Topics in MDPI journals
Interests: nonlinear dynamics; chaos control; bifurcation; energy harvesting; fractional-order system
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; nonlinear control; energy harvesting; machine learning; fractional control algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry are fundamental principles in the natural sciences, shaping various aspects of scientific inquiry. In robotics and mechatronics, these concepts play a crucial role in design, control, and functionality. Symmetry, characterized by balanced and identical features in a robot’s structure or behavior, enhances stability, efficiency, and predictability. For instance, humanoid robots often feature symmetrical limbs to better mimic human movement. On the other hand, asymmetry introduces variations that improve adaptability and specialized performance. Many robotic designs intentionally incorporate asymmetry to optimize functions such as gripping objects of diverse shapes or navigating uneven terrain.
This Special Issue aims to showcase the latest advancements in symmetry and asymmetry in robotics and mechatronics, highlighting emerging trends and their intersections with artificial intelligence (AI), machine learning, and nonlinear systems.
In this Special Issue original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Machine learning and deep learning;
- Computer vision and image processing;
- Control theory in artificial intelligence;
- Artificial intelligence (IA) applications in nonlinear systems;
- AI in healthcare;
- Nonlinearities and fractional calculus.
Prof. Dr. Clivaldo de Oliveira
Prof. Dr. Jose Manoel Balthazar
Prof. Dr. Angelo Marcelo Tusset
Prof. Dr. Jeferson José de Lima
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
- fractional calculus
- machine learning
- AI
- deep learning
- engineering and science applications
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