Hardware · Perception · Control
FPGA-based robotic system
An integrated PYNQ-Z2, Raspberry Pi 5, and STM32 system combining perception, mapping, and motion control.
An integrated prototype
The project brought together FPGA processing, sensor interfaces, ROS-based mapping, and motor control in an interactive electronic pet.
My contribution
My work included electronic-module assembly, wireless motion control, radar-based SLAM integration, and IMU drift compensation. The system used PYNQ-Z2, Raspberry Pi 5, and STM32 hardware.
Recognition
National Second Prize, FPGA Innovation Design Track Finals, 7th National College Embedded Chip and System Design Competition, 2024.