About me

I am a Post-Doctoral Fellow at Offroad Robotics, Ingenuity Labs at Queen’s University, Canada. I am passionate about robotics and a big believer that intelligent robots will play a significant role in our daily lives. I am interested in technologies that improve the autonomy of robotic systems, especially a combination of model-based and learning-based methods to achieve a high-performance robot interaction with real-world, dynamic, unstructured environments safely and effectively. I am strongly motivated to conduct researches in robot learning. How to integrate learning based modules to physical model-based robotic architecture appropriately?

I received the Ph.D. degree in mechanical engineering, specializing in robotics control, from the University of Calgary, Canada. The research focused on locomotion mode selection and motion planning of a leg-tracked quadrupedal robot. By proposing an energy criterion-based approach, locomotion mode transitions between tracked and legged locomotion to negotiate steps were achieved automatically. Prior to joining the Offroad Robotics group, I worked as a Post-Doctoral Fellow at the University of Calgary and York University. I developed and implemented perception solutions for micro aerial vehicles including visual SLAM and CNN-based object detection and tracking.

Recent News:

Apr. 04, 2020: An Intuitive Tutorial to Gaussian Processes Regression posted.

Feb. 03, 2020: I joined Offroad Robotics Lab.

Sep. 30, 2019: A paper accepted by ISPRS Archives.

Sep. 11, 2019: A paper accepted by Remote Sensing.

Jul. 24 – Aug. 2, 2019: DLRLSS 2019.