Yixuan Huang

I am an incoming Master of Science student in Robotics at the University of Michigan, beginning in Fall 2026.

My interests focus on task and motion planning for multi-robot systems and robotic manipulation. I am particularly interested in combining model-based planning and optimization with learning-based methods to improve decision-making under uncertainty and support reliable deployment in physical environments.

I have worked as a remote Research Intern with the Algorithmic Robotics and Control Lab at Rutgers University, where my work focused on multi-arm tabletop multi-object rearrangement planning and optimization. I have also worked as a Research Intern at the Shanghai Artificial Intelligence Research Institute (SAIRI), affiliated with MindSpore Shanghai, where I contributed to an agricultural robotics project involving plant information acquisition, RGB-D reconstruction, and 3D modeling.

I welcome conversations about robotics, planning, manipulation, and related research ideas, especially work that connects algorithms and prototypes with reliable real-world use.

Go Blue!

Education

University of Michigan

Robotics Department

Incoming,

Experience

Rutgers University, New Brunswick, NJ

Algorithmic Robotics and Control Lab

Shanghai Artificial Intelligence Research Institute, Shanghai, China

Selected engineering projects and technical tools in robotics, perception, machine learning, and embedded systems.

No preview available for Vectra

Vectra

An opinionated, open-source LaTeX CV and resume system for research, academia, and professional applications, with modular content, extensive documentation, reproducible examples, and print-friendly PDF output.

[GitHub]
No preview available for ZhThesis

ZhThesis

A modern, customizable LaTeX framework for Chinese academic theses with a structured document class, bilingual abstract support, academic front matter, bibliography integration, and reusable chapter files.

[GitHub]
Histopathology image classification project

Histopathology Classification and Distillation

PyTorch experiments covering PathMNIST tissue classification and MNIST knowledge distillation, comparing compact CNNs, ResNet18, and teacher-student training.

[GitHub]
No preview available for Pocket Frequency Meter

Pocket Frequency Meter

A portable frequency-measurement device built around an 8051-compatible microcontroller, combining C51 firmware, signal-counting logic, four-digit display output, circuit simulation, schematic design, and PCB layout.

[GitHub]

Honors & Awards

Autonomous vehicle simulation project

China Undergraduate Engineering Practice and Innovation Ability Competition 2023

First Prize, 2nd Nationwide

[GitHub]

Thanks for making it this far. I hope this website has given you a glimpse into my academic journey and the work I care about. Beyond research and projects, there is also a quieter side of my life that I keep here.

This space is a personal journal for writing, memories, photographs, hobbies, and reflections—the small moments that shape how I learn, rest, and grow. I wrote a short note about why I created this space: Why I Keep This Space.

Outside work, I enjoy guitar, tennis, table tennis, video games, traveling, and reading. They are ordinary parts of my life, but also meaningful ways for me to stay curious, connect with others, and find a little balance.