Shixuan (Alan) Zhao

I am an M.S. student in Mechanical Engineering at Stanford University, where I am a graduate research assistant in the Biomimetics & Dexterous Manipulation Lab advised by Mark Cutkosky, and work with C. Karen Liu on humanoid control.

I received dual bachelor's degrees in Mechanical Engineering from The University of Arizona and Hebei University of Technology.

My interests are in robot learning for contact-rich tasks in extreme or hazardous settings. I enjoy full-stack robotics, from hardware design to control and learning on real robots.

Email/ CV/ LinkedIn/ GitHub

Photo of Shixuan Zhao

Research

Projects I have contributed to. Highlighted is my main ongoing work.

Lego-Like Stiffness Configuration of Planar Compliant Modules for Task-Specific Flexible Interfaces

Siyue Yao, Xiaochi Xie, Shixuan Zhao, Yutong Li, Hao Li, Mark R. Cutkosky, Genliang Chen

Submitted to ICRA 2027

Stacking a few planar compliant modules gives a robot wrist the stiffness a task needs. I implemented the robot control for the contact and high-speed interaction experiments.

Fluorescence-Enhanced Whisker Array with Vision-Based Deformation Analysis for Underwater Source Localization

Xiaochi Xie*, Hao Li*, Shixuan Zhao, Siyue Yao, Shuran Song, Mark R. Cutkosky

Submitted to ICRA 2027

Five glowing whiskers and a single camera locate an underwater flow source in the dark. I built the lightweight CNN that decodes whisker deformation into source position.

DistalShift: How Distal Redundancy Shapes Robot Arm Motion and Joint Loading

Tian-Ao Ren*, Tongyu Wang*, Shixuan Zhao, Rohan Karunaratne, Tao Zhang, Rachel Thomasson, Mark R. Cutkosky

Submitted to ICRA 2027

A compact 2-DoF add-on wrist reorients an ultrasound probe right at the tool, so the 7-DoF arm holding it sweeps much less space and carries less joint load. I built the controller pipeline that integrates wrist and arm control into reusable, robust primitives within a manager-based architecture.

* Equal contribution

Education