Background

Hi,
I'm Huaidian Hou1

Researcher at UMich,
Excited for Robotics

Huaidian Hou

Huaidian Daniel Hou

I'm Huaidian Hou (侯怀典), a 4-th year undergraduate Robotics researcher at UMich. As a passionate computer scientist and creative artist, I focus on sculpting intelligent understanding and manipulation capabilities for the benefit of our communities. My recent work spans scalable imitation learning for robotic manipulation and efficient sim2real for challenging tasks.

I was fortunate to be advised by Prof. Dmitry Berenson and Prof. Shai Revzen during my undergraduate at the University of Michigan. Their guidance was instrumental in shaping my research interests and career aspirations.

I am actively seeking PhD opportunities in Robotics for Fall 2026. If you are recruiting or think my background is a good fit, please reach out!

Research

Multimodal Diffusion Forcing for Forceful Manipulation thumbnail
Multimodal Diffusion Forcing for Forceful Manipulation

Zixuan Huang, Huaidian Hou, Dmitry Berenson

(Submitted) International Conference on Robotics and Automation (ICRA) 2026

Benchmarking and Improving LLM Robustness for Personalized Generation thumbnail
Benchmarking and Improving LLM Robustness for Personalized Generation

Chimaobi Okite, Naihao Deng, Huaidian Hou*, Kiran Bodipati*, Joyce Chai, Rada Mihalcea

Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025 Findings

Programmable Dice for Language Learning thumbnail
Programmable Dice for Language Learning

Huaidian Hou, Yuzhen Chen, Kevin Hong*, Eddy Shim*, Erica Ervin, Phill Cameron, Alfonso Sintjago

Serious Play Conference 2025 Panel Speaker

Evaluating Parametric Car-Following Models in Naturalistic Congestion: Insights in Driver Behavior and Model Limitations thumbnail
Evaluating Parametric Car-Following Models in Naturalistic Congestion: Insights in Driver Behavior and Model Limitations

Huaidian Hou, Arpan Kusari, Brian T.W. Lin

Transportation Research Board Annual Meeting (TRBAM) 2025 Poster Presentation

Multilegged Robots and Animal Motion (Mu-RoAM) thumbnail
Multilegged Robots and Animal Motion (Mu-RoAM)

Advised by Prof. Shai Revzen

University of Michigan, BIRDS Lab · 2024

LoG (M): Integrable Tops Simulator & Animator thumbnail
LoG (M): Integrable Tops Simulator & Animator

Huaidian Hou, Haley Gipson, Anna Huang, Ramon Diego, advised by Dr. Alejandro Bravo-Doddoli

University of Michigan, Lab of Geometry · 2024

Measuring Dynamics in Evacuation Behaviour with Deep Learning thumbnail
Measuring Dynamics in Evacuation Behaviour with Deep Learning

Huaidian Hou, Lingxiao Wang

Entropy Journal (2022)

Software Projects

Tensor-IPC thumbnail
Tensor-IPC

Huaidian Hou

University of Michigan, ARM Lab · 2025

Spatial Audio Guidance System thumbnail
Spatial Audio Guidance System

Huaidian Hou

The Haverford School · 2022

OTune: VEX Robot Odometry Tuning Utility thumbnail
OTune: VEX Robot Odometry Tuning Utility

Huaidian Hou, VEX Robotics Team 169E

The Haverford School · 2022

Work Experiences

University of Michigan EECS logo
University of Michigan EECSInstructional Aide, EECS 376: Foundations of Computer Science | 2024
Minsheng Fintech Co. Ltd logo
Minsheng Fintech Co. LtdResearch Intern | 2023
University of Michigan Shapiro Design Lab logo
University of Michigan Shapiro Design LabDesign Lab Consultant, 3D Printing Expert | 2022 – Present
Dreame Technologies logo
Dreame TechnologiesAlgorithm Engineer Intern | 2021

My Toolbox

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Python

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C++

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MATLAB

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PyTorch

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Nvidia IsaacLab

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ROS

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Arduino

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Raspberry Pi

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Docker

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Adobe Premiere Pro

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Adobe Photoshop

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Adobe Illustrator

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Autodesk Fusion 360

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Lumion

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Prusa 3D

Academics

University of Michigan

B.S. Computer Science · Minor in Mathematics

Aug 2022 - May 2026 (Expected)

GPA

3.99 / 4.0 (Major: 4.0)

Honors

6-Term Angell ScholarEngineering HonorsDean's List

AI, Machine Learning & Computer Vision

CSE 692 Advanced Artificial Intelligence*
CSE 595 Natural Language Processing*
EECS 498 Reinforcement Learning
EECS 498 ML Research Experience
EECS 492 Intro to Artificial Intelligence
EECS 445 Machine Learning
EECS 442 Computer Vision

Robotics

ROB 498 Robot Learning
ROB 422 Algorithmic Robotics

Mathematics

MATH 526 Discrete Stochastic Process*
MATH 561 Linear Programming*
EECS 501 Probability & Random Processes*
MATH 440 Lab of Geometry
EECS 301 Probabilistic Methods
MATH 217 Linear Algebra
EECS 203 Discrete Mathematics

Computer Architecture & Systems

CSE 587 Parallel Computing*
EECS 370 Computer Architecture
EECS 376 Foundations of CS
EECS 281 Data Structures & Algorithms
EECS 280 Programming & Data Structures

* denotes graduate-level courses

The Haverford School

High School Diploma · Aug 2018 - May 2022

Cum LaudeJohn C Lober Award in MathematicsThe University of Chicago Book AwardScholastic Art & Writing National Silver MedalAIME QualifierUSACO PlatinumVEX Robotics Champion

2023-2025 © Huaidian (Daniel) Hou all rights reserved.