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My name is Shun Li!

I am highly self-promoted🚀 and always willing to open my eyes👀 for new knowledge and challenges. Several year experience, from the field of UAV✈ modeling/control to robotics localization/mapping (SLAM📷), gives me a relative broad vision for the whole autonomous system.

I fall in love♥ with robotics, because I gradually found all my travel and learning these years leads to a final goal🎯: The automation of the robot. The mechanical design, programming skills, control theory, as well as computer vision skills that I have learned can finally contribute to that goal.

• Master of Applied Science, Mechanical Engineering, Jan 2021 - Dec 2022

  Concordia University, Montreal, QC                                    GPA: 4.23/4.3
  

• Bachelor of Engineering, Flight Vehicle Design and Engineering, Sep 2016 - Jul 2020

  Beijing Institute of Technology (BIT), Beijing, China   Weight Average Score: 87/100
  

• Autonomous Driving Engineer (full-time) Jul 2020 – Jan 2021

  Qingdao Webull Intelligent Technology Co., Ltd. Qingdao, China
  

  • Cooperated with the Laboratory of Motion Generation and Analysis of Monash University (Australia)
  • Developed an automated apple-picking robot using CNN-based apple segmentation and motion planning algorithms for the robot arm (UR5).
  • Implemented the apple segmentation with Pytorch in python, motion planning with MoveIt in C++ and visualization with ROS, Rviz and MATLAB.

I used to work on designing, modeling and controlling of the UAVs. But for now, my research interest includes SLAM, 3D reconstruction, Robotics.

Networked Autonomous Vehicles (NAV) Lab of Concordia, Montreal, QC:

• UAV-based Wildfire Perception and Management

• A Lightweight Stereo Camera Visual Odometry

• ORB-SLAM2 with RGB-D Dense Map

Aircraft Dynamics and Control Lab of BIT, Beijing, China:

• Fixed-Wing UAVs Formation Control