Tianze Wang

I am a PhD student in the Optimal Robotics Lab at Florida State University, advised by Dr. Christian Hubicki .

I received my Bachelor's degree from University of Electronic Science and Technology of China, and Master's degree in Electrical Engineering from the University of Pennsylvania.

My research focuses on model-based control and motion-planning algorithms for bipedal locomotion using numerical optimizations. More specifically, I design control frameworks that allow agile obstacle avoidance behavior for dynamic bipedal robots.

You can find my CV here and also other useful links .

More about Me

My research interests focus on leveraging optimization techniques to address real-world robotics challenges.

Since 2017, I have been passionate about artificial intelligence, initially working on a computer vision project for self-driving cars as part of my undergraduate studies. During my master’s degree, I worked with Dr. Michael Posa to develop efficient optimization algorithms for systems that frequently make and break contact with their environments.

As part of my PhD, I had the opportunity to work on bipedal robots, where I designed control frameworks for two humanoid platforms, Cassie and Digit from scratch—encompassing both locomotion and path planning. Moving forward, I am interested in integrating model-based and exploring model-free methods to enable humanoids to operate effectively in real-world environments.

Outside of research, I enjoy music, watching movies, and playing video games.