Qixuan Huang

GTGeorgia TechM.S. Robotics, 2026–2028

IUIUCB.S. Computer Engineering

ZJUZhejiang UniversityB.E. Electrical & Computer Eng.

About

I am an M.S. student in Robotics at Georgia Tech. Before that, I completed a dual-degree program in 2026, earning a B.S. in Computer Engineering from the University of Illinois Urbana-Champaign and a B.E. in Electrical and Computer Engineering from Zhejiang University.

As an undergraduate I worked with Prof. Liangjing Yang, Prof. Katie Driggs-Campbell, and Prof. Gaoang Wang. My research focuses on robot learning, dexterous manipulation, and perception.

Research question: How can robots turn a few human demonstrations into dexterous skills they can trust, and adapt those skills when a new setting brings uncertainty?

Currently

Dexterous hands · learning from human demonstrations · perception

Actively seeking Summer 2027 research internships

Robot learningDexterous manipulationPerception

News

Aug 2026

Started my M.S. in Robotics at Georgia Tech.

May 2026

Completed my senior thesis, RecoverTwin: train-free failure recovery for frozen dual-arm policies on RoboTwin 2.0.

May 2025

Joined the Human-Centered Autonomy Lab at UIUC as an undergraduate research assistant.

Apr 2025

CityGen accepted to the CVPR 2025 Workshop on Urban Scene Modeling.

Jun 2023

Joined the CVNext Lab at ZJU, working on 3D city generation.

Research

Google Scholar →

The dual-arm robot holding an unsolved Rubik's cube corner-down between its two white printed grippers

Project

Dual-Arm Robotic Rubik's Cube Solver

Senior design, team lead · Jan – May 2026. A MuJoCo cube model, Kociemba moves turned into clamp and layer-turn commands, and a serial bridge to Arduino motors. It completed a full solve on the physical prototype. Most of our hardware time went into friction and claw compliance, and that is a big part of why I moved to dexterous hands.

Project page Video

RecoverTwin architecture: a frozen base policy and an analytic failure detector feed an action gate; on detection, frozen localization, six-DoF grasp sampling, ranking and IK planning produce a recovery action.

Senior thesis

RecoverTwin: Train-Free Failure Recovery for Dual-Arm Manipulation

A train-free supervisor that notices when a frozen dual-arm policy stalls at the grasp and re-grasps before handing control back. It helped on some single-arm grasping tasks in RoboTwin 2.0 and hurt on bimanual ones.

Project page

CityGen: semantic and height fields stacked under a generated 3D city layout

CVPR-W 2025

CityGen: Infinite and Controllable City Layout Generation

Jie Deng, Wenhao Chai, Jianshu Guo, Qixuan Huang, Wenhao Hu, Jenq-Neng Hwang, Gaoang Wang

CVPR 2025 Workshop on Urban Scene Modeling (USM3D)

Project page Paper Code

@InProceedings{Deng_2025_CVPR,
  title     = {CityGen: Infinite and Controllable City Layout Generation},
  author    = {Deng, Jie and Chai, Wenhao and Guo, Jianshu and Huang, Qixuan and Hu, Wenhao and Hwang, Jenq-Neng and Wang, Gaoang},
  booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops},
  year      = {2025}
}

CityCraft: a generated 3D city stacked above its building mask and 2D layout

Under review

CityCraft: A Real Crafter for 3D City Generation

Jie Deng*, Wenhao Chai*, Junsheng Huang*, Zhonghan Zhao*, Qixuan Huang, Mingyan Gao, Jianshu Guo, Shengyu Hao, Wenhao Hu, Jenq-Neng Hwang, Xi Li, Gaoang Wang

arXiv 2024

arXiv Code

@article{deng2024citycraft,
  title   = {CityCraft: A Real Crafter for 3D City Generation},
  author  = {Deng, Jie and Chai, Wenhao and Huang, Junsheng and Zhao, Zhonghan and Huang, Qixuan and Gao, Mingyan and Guo, Jianshu and Hao, Shengyu and Hu, Wenhao and Hwang, Jenq-Neng and Li, Xi and Wang, Gaoang},
  journal = {arXiv preprint arXiv:2406.04983},
  year    = {2024}
}

Experience & Education

Research experience

ZJU
JAN 2026 – MAY 2026
RecoverTwin (Senior Thesis)
Advisor: Prof. Liangjing Yang
Train-free failure recovery for frozen dual-arm policies on RoboTwin 2.0.
HCA
MAY 2025 – SEPT 2025
Human-Centered Autonomy Lab, UIUC
Undergraduate RA · Advisor: Prof. Katie Driggs-Campbell
A behavior-tree prototype for recovering from failed ACT rollouts, which informed the design of RecoverTwin.
CVN
JUN 2023 – SEPT 2024
CVNext Lab, Zhejiang University
Undergraduate RA · Advisor: Prof. Gaoang Wang
Data pipelines (100k+ map and satellite patch pairs) and Blender rendering for CityCraft and CityGen.
UPL
JUN 2023 – AUG 2023
Ultrafast Photonics Laboratory, ZJU
Undergraduate RA · Advisor: Prof. Chaoyuan Jin
A quantum-inspired Boids simulator; one coupling variant cut mean foraging time by 7.5%.

Education

GT
2026 – MAY 2028 (EXPECTED)
M.S. in Robotics
Georgia Institute of Technology · ECE home school
I
2022 – JUN 2026
B.S. in Computer Engineering, with honors
University of Illinois Urbana-Champaign
ZJU
2022 – JUN 2026
B.E. in Electrical & Computer Engineering
Zhejiang University (dual degree) · GPA 4.00/4.3