🌐 Project Overview: The Philosophy of the "Smart-Rover"

Positioning: Not a Toy, but a "Minimum Viable System"

This project is positioned not as a toy, but as a "Minimum Viable System." While modern AI—driven by ChatGPT and autonomous driving headlines—is often presented as a magical emergence of data and scale, our goal is to investigate the stark reality. As a machine learning student familiar with OpenCV and TensorFlow, I discovered a profound gap between the digital world of cloud GPUs and the physical world of a handheld vehicle.

This gap cannot be crossed simply by tuning parameters. It forced us to confront three fundamental levels of autonomous driving:

  • Perception Layer: Investigating the accuracy gap between basic ultrasonic sensors and industrial Lidar.

  • Decision Layer: Comparing the reliability of classic PID control versus the adaptive "intuition" of Deep Learning.

  • Execution Layer: Analyzing why "perfect" simulation code often leads to physical crashes in reality.

The "Cognitive Detector"

Our miniature robot serves as a "cognitive detector." Rather than just verifying code, it reveals the fundamental characteristics of AI theory in the real world. By constructing the simplest model of a complex technology, we echo Ian Hacking’s Experimental Realism, exploring the agency of technological objects through direct, physical interaction.

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