In February 2025, Tookoro developed an autonomous landing module for drones within the UWARG/computer-vision-python repository. The work centered on designing modular Python classes to manage landing information and orchestrate landing operations through a dedicated worker process. By fusing camera and odometry data, the module computed LANDING_TARGET parameters for MAVLink, enabling safer and more automated drone landings. This approach established a robust foundation for scalable autonomous landing workflows, directly addressing operational safety and reliability. Tookoro’s contributions demonstrated depth in computer vision, robotics, and MAVLink integration, reflecting a thoughtful application of sensor data fusion and modular software architecture in Python.