Computer Vision, Robotics, and Automation Engineering
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 11
Special Issue Editors
Interests: artificial intelligence; machine learning; computer vision; medical image analysis and 3D construction
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; computer vision; remote sensing image analysis; multimodal image classification; video surveillance and scene understanding
Special Issue Information
Dear Colleagues,
This Special Issue will focus on symmetry in computer vision, robotics, and automation engineering, and present the research results on the key challenges and research directions faced by the development of this field, thereby promoting the development and application of theories and technologies within this field.
Topics of interest include, but are not limited to, the following:
Intelligent Control Systems and Optimization
- Genetic Algorithm;
- Fuzzy Control;
- Decision Support Systems;
- Machine Learning in Control Applications;
- Knowledge-based System Applications;
- Hybrid Learning Systems;
- Distributed Control Systems;
- Evolutionary Computation and Control;
- Optimization Algorithms;
- Intelligent Algorithms and Systems;
- Soft Computing;
- Software Agents for Intelligent Control Systems;
- Neural Network-based Control Systems;
- Planning and Scheduling.
Robotics and Automation
- Image Processing;
- Vision, Recognition, and Reconstruction;
- Robot Design, Development, and Control;
- Control and Monitoring Systems;
- Telerobotics and Teleoperation;
- Humanoid Robotics Intelligence;
- Object Recognition and Tracking;
- Sensor Fusion;
- Industrial Networks and Automation;
- Assistive Robotics;
- Autonomous Robotics;
- Bionic Robotics;
- Biomechanics;
- Biomedical Robotics;
- Biomimetic Robotics;
- Distributed Sensing;
- Haptic Feedback;
- Multi-Agent Systems;
- Multimedia Robotics.
Computer Vision and Recognition
- Active and Robotic Vision;
- Biometric Authentication;
- Camera Networks and Vision;
- Cognitive and Bio-inspired Vision;
- Fuzzy and Neural Techniques in Vision;
- Face and Gesture Recognition;
- Image Feature Extraction;
- Novel Vision Applications and Case Studies;
- Machine Learning Techniques for Vision;
- Object Recognition;
- Sensors and Early Vision.
The content of submitted paper should be related to SymmetryWe look forward to your submissions.
Prof. Dr. Jie Yang
Prof. Dr. Jian Cheng
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
- artificial intelligence
- computer vision
- robotics
- automation
- image processing
- pattern recognition
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