1. The maze robot has dimensions of approximately 95mm×90mm×30mm, making it suitable for practical training in maze robot learning. It is the preferred platform for cultivating students' engineering literacy and technological innovation capabilities.

2. The processor uses the domestic ITAI ESP32 dual-core SoC with a clock frequency of 240MHz, ROM of 448 KB, SRAM of 520 KB, and SPIFlash of 4MB.

3. Integrates WiFi, Bluetooth, and 2.4G wireless transparency, making wireless interaction more convenient.

4.Equipped with three groups of linear infrared sensors that can automatically calibrate to reduce debugging steps.

5.Integrated high-performance three-dimensional motion attitude measurement system, providing high accuracy, high dynamics, and real-time compensated three-axis attitude angle detection.

6.4096-line magnetic encoder reduction motor significantly enhances motor rotation detection precision.

7.Motor driver uses L9110S, operating voltage of 2.5-12V, maximum operating current of 0.8A, with rapid response, providing efficient driving support.

8.Supports two programming methods, MicroPython and Arduino, which are easy to learn, understand, and practice, meeting the practical training needs of different learning stages.

Accompanied by the TQD-Micromouse OC V3.0 comprehensive competition platform, it completes virtual simulation and data analysis, enabling interaction between virtual and real, moving from intelligent control to digital twin technology, achieving a "digital intelligence" transformation.

1.High-Performance Three-Dimensional Motion Attitude 

2.Featuring advanced Kalman filtering and sensor fusion algorithms, this system can provide data updates up to 200Hz in real time, catering to various high-precision applications for accurate motion capture and posture estimation.

3.This system integrates a variety of high-performance sensors and a core algorithm engine for posture dynamics, combined with a high-dynamic Kalman filter fusion algorithm. It provides users with high-precision, high-dynamics, and real-time compensated triaxial posture angles. Flexible selection and configuration of various types of data allow it to meet different application scenarios.

This system includes motion sensors such as three-axis gyroscopes, three-axis accelerometers, and three-axis electronic compasses.