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Journals / Balkan Journal of Electrical and Computer Engineering / 2017 / Cilt: 5 - Sayı: 2

An Object Detection and Identification System for a Mobile Robot Control

M. AYDIN
G. ERDEMİR
Pages
73–76
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Proposed approach offers not only cost efficiency but also short process time

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The one of the features of mobile robot control is to detect and to identify objects in workspace.
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Key Findings & Data:Different type sensors usage can affect not only system performance but also operational cost.
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Conclusion & Impact:Proposed approach offers not only cost efficiency but also short process time
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The one of the features of mobile robot control is to detect and to identify objects in workspace. Especially, autonomous systems must detect obstacles and then revise actual trajectories according to new conditions. Hence, many solutions and approaches can be found in literature. Different sensors and cameras are used to solve problem by many researchers. Different type sensors usage can affect not only system performance but also operational cost. In this study, single camera based obstacle detection and identification algorithm was developed to control omni-drive mobile robot systems. Objects and obstacles, which are in robot view, are detected and identified their coordinates by using developed algorithms dynamically. Developed algorithm was tested on Festo Robotino mobile robot. Proposed approach offers not only cost efficiency but also short process time

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Cite This Article

AYDIN, M., ERDEMİR, G. (2022). An Object Detection and Identification System for a Mobile Robot Control. Balkan Journal of Electrical and Computer Engineering, Cilt: 5 - Sayı: 2, 73–76. https://ajindex.com/articles/460686

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