Sizhe Sui is a first-year Ph.D. student in Aerospace Engineering at the University of Texas at Austin, where he is fortunate to be advised by Prof. Luis Sentis. He received his Bachelor’s degree from SJTU and graduated from the Hsue-shen Tsien Honored Program. During his Master’s studies, he focused on robotics algorithm design under the guidance of Prof. Ye Ding. He also had the opportunity to work in the PAIR lab with Prof. Animesh Garg from May to October 2020.

Sizhe’s research interests revolve around (multi) robot kinematics calibration, motion planning, and robotic vision. He’s particularly passionate about leveraging the power of massive-parallel computation units (such as GPUs) to accelerate robotics algorithms. He’s excited to explore new possibilities by designing algorithms with parallelism in mind from the outset.

He has an in-depth understanding of robot kinematic parameter calibration, multi-robot system calibration, time optimal trajectory planning, sample-based motion planning and point cloud registration thanks to his participation and dedication in previous projects. He also has rich experience with hardware robotics platforms by building experiment environments from scratch with ROS.

In his leisure time, he is a breath-stroke swimmer and a photographer (part-time Photojournalism). Some of his works are exhibited in Portfolios.

News

Commencement Speaker
  • Awarded the ‘Outstanding Master’s Thesis’ for the Class of 2024!
  • Finished my visiting scholar program at UT Austin with Prof. Luis Sentis. Thank you so much for hosting me this summer!
Photo with Prof. Sentis
  • My recent work Solving the AXB=YCZ Problem for a Dual-Robot System with Geometric Calculus was accepted by IEEE Transactions of Automation and Science (TASE). The system is built from scratch with JAKA Zu12, ABB 4600, ROS and Gocator 3210 Camera. Read Publicaions and GitHub for detail!