A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications

A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications

The evolution of low-cost embedded systems is growing exponentially; likewise, their use in robotics applications aims to achieve critical task execution by implementing sophisticated control and computer vision algorithms. We review the state-of-the-art strategies available for Tiny Machine Learnin...

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Bibliographic Details
Main Authors: Miguel Beltrán-Escobar, Teresa E. Alarcón, Jesse Y. Rumbo-Morales, Sonia López, Gerardo Ortiz-Torres, Felipe D. J. Sorcia-Vázquez
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Algorithms
Subjects:
embedded system
image processing
mobile robotic
TinyML
Online Access:https://www.mdpi.com/1999-4893/17/11/476
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