Citation

Sultana, Saima and Alam, Muhammad Mansoor and Mohd Su'ud, Mazliham and Che Mustapha, Jawahir and Prasad, Mukesh (2024) A Deep Dive into Robot Vision - An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices. ACM Computing Surveys, 56 (9). pp. 1-33. ISSN 0360-0300

Text A Deep Dive into Robot Vision - An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

Novel technological swarm and industry 4.0 mold the recent Robot vision research into innovative discovery. To enhance technological paradigm Deep Learning offers remarkable pace to move towards diversified advancement. This research considers the most topical, recent, related and state-of-the-art research reviews that revolve around Robot vision, and shapes the research into Systematic Literature Survey SLR. The SLR considers a combination of more than 100 reviews and empirical studies to perform a critical categorical study and shapes findings against research questions. The research study contribution spans over multiple categories of Robot vision and is tinted along with technical limitations and future research endeavors. Previously multiple research studies have been observed to leverage Robotic vision techniques. Yet, there is none like SLR summarizing recent vision techniques for all targeted Robotic fields. This research SLR could be a precious milestone in Robot vision for each glimpse of Robotics

Item Type:	Article
Uncontrolled Keywords:	Deep Learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 Jul 2024 01:07
Last Modified:	02 Jul 2024 01:07
URII:	http://shdl.mmu.edu.my/id/eprint/12535

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