American International Journal of Advanced Research and Development

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Robotic Vision Technologies for Advanced Automation Applications

Author(s) Prof. Hamid Reza Shahbazian
Country Iran
Abstract Robotic vision technologies have become a fundamental component of advanced automation by enabling robots to perceive, interpret, and respond to physical environments. The integration of cameras, three-dimensional sensors, image-processing algorithms, computer vision, artificial intelligence, machine learning, and robotic control enables automated systems to perform inspection, object recognition, localization, manipulation, navigation, and quality assessment. This study examines robotic vision technologies for advanced automation applications, focusing on sensing architectures, image acquisition, visual processing, object recognition, intelligent decision-making, and robotic control. A qualitative descriptive and conceptual research design was adopted using secondary academic literature. The analysis indicates that robotic vision can improve automation capabilities by providing machines with environmental information that supports adaptive and precise operations.
Two-dimensional and three-dimensional vision systems can identify objects, surfaces, defects, positions, and spatial relationships, while machine-learning techniques can enhance recognition and classification. Robotic vision is applicable to manufacturing, assembly, logistics, inspection, warehousing, agriculture, healthcare, and other automated environments. However, implementation remains affected by lighting variation, sensor limitations, computational requirements, data quality, system integration, calibration, cybersecurity, and operational costs.
The study concludes that effective robotic vision requires coordinated integration of sensing, image processing, intelligent perception, and robotic control. Future research should emphasize three-dimensional perception, vision-based learning, edge AI, multimodal sensing, real-time processing, explainable robotic decisions, and adaptive vision systems capable of operating reliably in dynamic industrial environments.
Keywords Robotic Vision, Computer Vision, Industrial Automation, Machine Vision, Robotics, Artificial Intelligence, Object Recognition, Image Processing, Intelligent Automation, Robot Perception.
Field Engineering
Published In Volume 4, Issue 6, November-December 2022
Published On 2022-11-29
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AIJARD is 10.00000/AIJARD

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJARD
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@aijard.com