Designing and developing Artificial Intelligence controllers on separately dedicated chips have many advantages. This report reviews the development of a real-time fuzzy logic controller for optimizing locomotion control of a two-wheeled differential drive platform using an Arduino Uno board. Based on the Raspberry Pi board, fuzzy sets are used to optimize color recognition, enabling the color sensor to correctly recognize color at long distances, across a wide range of light intensity, and with high fault tolerance.

翻译：在独立专用芯片上设计与开发人工智能控制器具有诸多优势。本文回顾了基于Arduino Uno板为优化两轮差动驱动平台运动控制而开发的实时模糊逻辑控制器。借助Raspberry Pi板，运用模糊集合优化颜色识别，使颜色传感器能够在远距离、广光照强度范围内，以高容错性正确识别颜色。