Contributed to the development of a drone-ground robot autonomous system, focusing on localization and front-end operation.Designed and implemented an Extended Kalman Filter (EKF) to integrate UWB, LiDAR, and wheel encoder data, enabling precise localization for an autonomous ground robot (AMR).Designed and conducted tests for tunning the AMR autonomous system.Conducted simulations in Gazebo to fine-tune sensor noise parameters for optimal EKF performance.

Contributed to the development of a drone autonomous systemDeveloped a ROS-based graphical user interface (GUI) using Kivy, streamlining system launch and configuration processes.Served as a drone safety pilot to ensure operational safety during testing and deployment.

Being the teaching assistant of course 18613 Foundations of Computer Systems. Holding small groups, and office hours to help students gain a better understanding of the course content.

• Implemented real-time target tracking, employing the SAM-Track algorithm to accurately track and extract the foreground target.• Created training object set, adapted colmap2nerf code for camera matching and reconstruction, and leveraged these enhancements to construct a high-fidelity 3D model of the target object, utilizing the instant-ngp algorithm.

• Utilized HTML and JavaScript to improve a user-friendly web application dedicated to facilitating the search for graduate universities, increasing website traffic by 10%.• Implemented interactive features that enable users to search for universities, access important information such as admission scores, and track application deadlines, ensuring seamless navigation and efficient data retrieval.• Orchestrated login by WeChat application function by Android Studio, enabling users to log in by WeChat, rename, and upload images from local albums, spearheading the launch of the ‘Kao Yan Tong’ application on the Android platform.• Extracting pertinent information from back-end data sources by keyword searching algorithm using Python.