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    Review of AI-Based Vision Detection Algorithms for Autonomous Mobile Robots
    (Springer Science and Business Media Deutschland GmbH, 2024) Moveh, Samuel; Merchán-Cruz, Emmanuel Alejandro
    This study presents a comprehensive review of AI-based vision detection algorithms for autonomous mobile robots. Over the years, research on autonomous mobile robotics, artificial intelligence (AI), and vision detection algorithms has significantly advanced. Furthermore, an in-depth analysis of some AI-based image detection algorithms for autonomous mobile robots is presented, demonstrating the complicated web of factors that go into creating an algorithm, including the algorithmic approach, methodology, data training, performance standards, real-time implications, and potential for improvement. This study acts as a roadmap for the development of improved AI-driven robotic vision systems as the algorithm’s capabilities continue to change the field of artificial intelligence. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.