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Summary

A skilled and motivated graduate in System, Control, and Robotics with a solid foundation in control algorithms, system simulation, and analysis. Proficient in programming with Python, C, and Matlab, and experienced in using ROS, Gazebo, and Linux systems. Having experience in machine learning and artificial intelligence as a plus. Having completed the master degree project related visual SLAM in Ericsson Research. Seeking to leverage expertise in system control and robotics in a challenging environment to contribute to innovative solutions and advancements in technology.

Years of Experience

Several years

Residence

Stockholm, Sweden

Graduation Year

2023

Title

Master of Science, System, Control And Robotics

Graduated From

The KTH Royal Institute of Technology

Work Experience

KTH Royal Institute of Technology

Master of Science, System, Control And Robotics

June 2021 - June 2023

Expected in 06.2023

Zhejiang University

Bachelor of Science, Automation

September 2017 - June 2021

Received [Zhejiang University Scholarship-Third Prize]• Received [College Scholarship: “Luo Ci—Lin Wenzheng”]• Awarded [Academic Excellent Award]• Awarded [Academic Progress Award]•

Projects

Localization using Extended Kalman Filter

Responsibility: Localization

undefined 2022 - undefined 2022

Our group worked on three main functions on the drone. First, the drone can detect and position landmarks it observes. Then, the drone can estimate the position of the drone based on information from perception. Last, the drone can plan where to move and how based on the position from localization and the information from the map. I was responsible for localization using the Extended Kalman Filter to carry it out.

Comparison of Graph SLAM and EKF SLAM

Responsibility: Implementation and Comparison

undefined 2021 - undefined 2022

My teammate and I implemented and compared the differences between Graph SLAM and EKF SLAM on their memory requirements, computational speed, and performance based on the dataset Victoria Park.

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