
I'm a first-year Ph.D. student in Computer Science at University of Illinois Urbana-Champaign,
advised by Prof. Yunzhu Li.
I received Master of Science degree from Mechanical and Aerospace Engineering at University of California,
San Diego (UCSD), advised by Prof.
Xiaolong
Wang. Prior to joining UCSD, I worked as a research assistant in the Lab of Flexible
Sensors and Intelligent Interaction with Prof.Geng Yang at Zhejiang University.
My research interests lie in Robotics, Dexterous Manipulation, Reinforcement Learning, Control, Motion
Planning. My research goal is to develop a robust robotic
system that can function similarly to humans and possess a deep understanding of its surrounding
environment - not just visually but also through touch and other physical cues.
I have experience in developing a ROS-based control pipeline for a navigation system that utilizes 2D
Lidar and depth cameras. Additionally, I have designed a vision-based tracking method that leverages
object detection algorithms to enable obstacle avoidance for mobile robots.
[paper]
[code]
In addition to my research in Robotics, I am also a content creator with a strong passion for sharing my knowledge of the field. I currently manage a Robotics Video Channel with over 63,000 followers and 4 million views in total. One of my Most Popular Video, which discusses robots combined with brain-computer interfaces, has garnered over 1.84 million views and is widely recognized within the field.
I possess practical experience in both building and repairing a wide range of robotic equipment. In doing so, I have encountered and addressed various dangerous situations, including instances where a robot lost control, a robot motor caught on fire, and a gearbox became damaged.
In, Nextev Formula Student Electric China (FSEC) team, I took on the role of designing
the steering system for our formula car. The patent, titled "A Kind of University Student's Equation
Motorcycle
Race Steering, Manufacture and Its Installation Method," was granted under the number 2017105998790.1.
[Google Patent],
[pdf]