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Robot and Machine Vision publishes ambitious scientific and technological proposals in this ever-growing field of artificial vision systems. This section welcomes challenging papers covering all aspects of robot and machine vision systems from the low-level processes of early vision to the high-level processes of recognition and interpretation to be applied to robotics and industry
Robot and Machine Vision welcomes challenging papers in the expanding field of artificial vision systems.
This section aims to cover all aspects of robot and machine vision systems from the low-level processes of early vision to the high-level processes of recognition and interpretation to be applied to robotics and industry.
Areas of interest, include, but are not limited to:
• Early Vision
• Perception and Cognition
• Computational Geometry
• Shape, Range, and Motion Analysis
• Image Processing
• Signal Processing
• Image Matching
• Pattern Recognition
• Real-Time Systems
• 2D/3D Visual Systems
• Multisensory Fusion
Foundational and novel as well as visionary theoretical research aspects of robot and machine vision systems are at the core of this section, including a strong mathematical, physical and/or computational focus.
Robot and Machine Vision especially welcomes submissions detailing applications to cutting-edge smart domains including: Bio-Inspired Robotics, Smart Environments, Human-Machine Interaction and Social Robotics as well as novel industrial applications related to Industry 4.0, Internet of Things and Cyber Physical Systems.
Indexed in: CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, Scopus, Ulrich's Periodicals Directory, Web of Science Emerging Sources Citation Index (ESCI)
Robot and Machine Vision welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Robot and Machine Vision, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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For all queries regarding manuscripts in Review and potential conflicts of interest, please contact firstname.lastname@example.org
For queries regarding Research Topics, Editorial Board applications, and journal development, please contact email@example.com