Yiqun Wang

Yiqun Wang has worked in the field of robotics since 2019. At Harvest CROO Robotics, they worked as a Robotics Navigation Engineer. At the University of Florida, they served as a Perception Engineer from 2019-2021, where they utilized two 16-beam LiDARs for a project, removed ground from point cloud using Plane Segmentation from Point Cloud Library, and segmented non-ground point clouds into clusters with Euclidean Distance Clustering algorithm. From 2018-2019, they worked as a Robotics and Perception Software Development, where they applied Extended Kalman Filter to fuse car GPS data with IMU data, customized a simulated robot and world in Gazebo, and hand coded and analyzed the difference between BFS and A* path planning. They also integrated ROS Navigation stack, built LiDAR-based curb, lane detection and center-line prediction software in ROS, created vision-based lane detection with monocular camera, and introduced Machine-Learning based vehicle detection.

Yiqun Wang completed a Nanodegree in Robotics Software Engineering from Udacity in 2019. Prior to that, they obtained a M.S. in Mechanical Engineering from the University of Florida in 2017. Yiqun also obtained a B.S. in Automotive Engineering from Wuhan University of Technology in 2013.