This course centers on an Intelligent Remote-Controlled Vehicle (RCV) as its core platform, integrating artificial intelligence, cloud computing, mobile client development, and Internet of Things (IoT) technologies. Students complete a full hands-on development cycle—from hardware assembly and system deployment to advanced AI and IoT integration.

Built on the Raspberry Pi platform, students master essential control capabilities such as tracking, sensing, line-following, and obstacle avoidance. They then progress to AI server development and mobile client integration, enabling remote control and multi-device collaboration.

The course also introduces key AI 2.0 technologies, including Transformer architectures (such as BERT/GPT), multimodal perception, speech recognition and navigation, image generation, and object detection. Through this comprehensive systems-level training, students significantly strengthen their innovation capacity and real-world engineering implementation skills, building a solid foundation for high-level technology competitions and future research endeavors.