本设计是在搭载RISC-V架构国产芯片的哪吒开发板上进行的嵌入式开发，基于对芯片文档和开发板手册的深度调研与学习，对建设机器人平台需要使用到的硬件进行测试和扩展；引入开源硬件开发库Pinpong，将复杂的硬件程序交给更简单的脚本语言Python；同时自主架设传感器和扩展板，设计了具备巡线、避障以及超声等物理功能和四驱运动系统的轮式机器人。在学习Scratch3.0，Blockly，MIND+等积木化编程项目基础上，将经典机器学习模型移植到面向青少年的图形化编程平台，硬件和软件的结合依靠基于车载传感器的有趣实验程序，以及利用车载摄像头回传的视频流数据进行AI经典机器学习模型的训练和验证，同时为可能使用本设计作为教学工具的机构和教学者提供了示例程序和简明教学设计。

The design is an embedded research on the domestic development board Nezha equipped with chip D1 with RISC-V architecture. Based on the in-depth research and study of the chip documentation and the development board manual, the hardware needed to build the robot platform needs to be tested and expanded. The introduction of Pinpong, an open source hardware development library, handed complex hardware programs to a simpler scripting language Python, and at the same time erected sensors and expansion boards independently, and designed a wheeled robot with physical functions such as line patrol, obstacle avoidance, ultrasound, and a four-wheel-drive motion system . On the basis of learning Scratch3.0, Blockly, MIND+ and other building block programming projects, the classic machine learning model is transplanted to the graphical programming platform for teenagers. The combination of hardware and software relies on interesting experimental programs based on on-board sensors, and the use of on-board sensors. The video stream data returned by the camera is used for training and verification of AI classic machine learning models, and at the same time, it provides sample programs and concise teaching designs for institutions and educators who may use this design as a teaching tool.