Symmetry in Robotics and Artificial Intelligence

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 185

Special Issue Editor

Facultad de Ingenierías y Ciencias Aplicadas, Universidad de Las Américas, Quito, Ecuador
Interests: data mining; big data; Artificial Intelligence

Special Issue Information

Dear Colleagues,

Integration of robotics and artificial intelligence (AI) has resulted in a vast range of innovations, as well as brought about new challenges for the scientific and technological community. Currently, various robotic applications use AI, particularly machine learning and deep learning algorithms, to carry out complex tasks, ranging from object identification to autonomous navigation and AI-based decision-making. Integrating the concept of symmetry into these systems not only optimizes algorithms and designs, but also drives further efficient processing and versatile robotic solutions.

AI algorithms adapted to robotic systems can be used to recognize and implement symmetries, which are essential in the optimization and efficiency of automated tasks. An example is detecting symmetry in environments where robots perform manipulation, navigation, or intelligent decision tasks. This Special Issue of the journal Symmetry, titled ‘Symmetry in Robotics and Artificial Intelligence’, aims to focus on how AI enhances and benefits symmetric principles in robotics.

Possible research topics include, but are not limited to, the following areas:

  • Application of symmetry/asymmetry in AI algorithms for robotics;
  • Implementation of deep learning in robots to optimize AI-based decision making;
  • Robotic navigation systems that use symmetries in complex environments;
  • Symmetry in sensory perception and data processing in robotic systems;
  • Use of symmetries in the design and modeling of robots to optimize their efficiency and movement capacity;
  • Machine learning techniques to recognize and apply symmetries in robotic tasks;
  • Artificial intelligence for adaptability and learning in changing environments based on symmetries;
  • Security, privacy, and resilience of robots in symmetry/asymmetry contexts.

Please note that this Special Issue will publish papers on a rolling basis, and all submissions will be thoroughly reviewed by at least two independent experts before they are accepted for publication.

Prof. Dr. William Villegas-Ch
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • symmetry
  • robotics
  • Artificial Intelligence
  • optimized algorithms
  • decision making
  • pattern recognition
  • neural networks
  • robotic mechanics
  • parallel processing

Published Papers

There is no accepted submissions to this special issue at this moment.
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