Design Considerations for Autonomous Mobile Robots

This white paper presents design considerations for Autonomous Mobile Robots (AMRs), which are self-navigating robotic systems designed to operate without human intervention in warehouse logistics environments. The document outlines the evolution of AMR computational architecture from centralized processing models to modern distributed architectures, which enhance real-time decision-making and energy efficiency. It details the various subsystems within AMRs, including sensors and perception, compute and navigation, battery management, and motor control. The paper emphasizes the importance of sensor fusion, where data from multiple sensors is integrated to improve decision-making capabilities. It also discusses the role of advanced processors from NXP that support these functions, highlighting specific models that cater to different operational needs. The summary covers the challenges faced in designing AMRs, such as ensuring real-time responsiveness and optimizing battery performance, while also addressing the significance of AI in enhancing navigation and decision-making processes.