QUINTON
QUE.

RESEARCH & CURIOSITY

Autonomy. Robotics.
Efficient AI.

Research, experiments, and a little art.

01 / RESEARCH

From understanding the world
to moving through it.

Intelligence,
in the real world.

I study how autonomous systems perceive, plan, and operate under real-world constraints. My work connects driving robustness, robot exploration, and efficient AI deployment.

Reliable autonomyRobot explorationEfficient AI

Selected work2026—2027

01 / Driving robustnessWACV 2027

When does a camera failure become a driving failure?

Testing how visual corruption changes driving plans—and distinguishing robustness from a model's failure to use its cameras.

DriveDegrade

Paper

02 / Hardware + perceptionWACV 2027

Bringing 3D perception onto the FPGA.

Camera-based 3D occupancy on the KR260, combining bounded accelerator computation, measured inference latency, and a watchdog for timely output.

FALCON

Paper Code & results

03 / Multi-robot explorationROBIO 2026

A shared sense of where to explore next.

Pheromone-inspired coordination that helps robot swarms explore unknown spaces while reducing congestion and inter-robot contact.

SPACE

Paper

04 / Collaborative perceptionIROS 2026

Share the meaning. Save the bandwidth.

Sharing compact semantic tokens instead of raw images for collaborative perception over constrained vehicle-to-everything links.

DinoLink

Paper Code

02 / ABOUTAthens, Georgia, USA

Quinton Que smiling in a kitchen, holding cooking utensils — Quinton, off duty.

Hi, I'm Quinton.

I publish as Haohua Que.

I'm currently a Ph.D. student in Mechanical Engineering at the University of Georgia, working with Handong Yao in the Mobility Lab.

My research connects reliable autonomous driving, robot exploration, and efficient perception on resource-constrained hardware.

EDUCATION

University of Georgia2025–present

Ph.D. in Mechanical Engineering · In progress

Beijing Forestry University2020–2024

Bachelor's degree in Electronic Information and Technology

Scholar GitHub LinkedIn

03 / EXPERIENCELinkedIn

My path
so far.

Fall 2025–present

Graduate Research Assistant

University of Georgia · Mobility Lab

Research on end-to-end autonomous driving, visual planning, and robustness under camera degradation. Participates in TRAVELS and leads the UGA RAV literature-review site.

Oct 2023–Oct 2025

Research Assistant & Robotics Team Lead

Tsinghua University · Sense Lab

Led the robotics group for two years. Co-first author of SenseExpo, combining lightweight occupancy prediction, frontier exploration, and ROS integration.

2023–2025

Robotics Engineering Intern

MakeSens Intelligent Technology (Beijing) Co., Ltd.

2024

Project Management Intern

Wiener Tech

2021–2023

Team Member & Captain (2023)

Beijing Forestry University · Forest Wolves RoboMaster Team

Contributed to computer vision and mechanical development for the 2022 engineering robot. In 2023, the team joined with Beijing Information Science and Technology University as Sirius.

2021–2022

Research Assistant

Beijing Forestry University

Along the way

2026

Best Student Paper Award Nominee

IJCNN 2026 · IEEE WCCI 2026

MotiMem.

2025

Best Paper Award

Edge AI for Robotics Workshop · IROS 2025

Preliminary version of MACE.

2023

First Prize

RoboMaster University League · Northwest Regional

Team award with the joint Sirius team, as captain of Beijing Forestry University's Forest Wolves team.

2023

Third Prize

RoboMaster University Championship · National Finals

Team award with the joint Sirius team, as captain of Beijing Forestry University's Forest Wolves team.

04 / PUBLICATIONSGoogle Scholar

Ideas, on paper.

12 publications

† Equal contribution · * Corresponding author

arXiv2026

SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping

Haohua Que, Haojia Gao, Mingkai Liu, Hoiian Au, Qian Zhang, Jiayue Xie, Yule Cai, Bokui Chen, Xueqian Wang, Fei Qiao

Preprint

Paper PDF

WACV2027

When Does Corruption Break the Plan? A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving

Haohua Que, Handong Yao*

Accepted

Paper PDF

WACV2027

FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving

Haohua Que†, Mingkai Liu†, Handong Yao*

Accepted

Paper PDF Code & results

TRB2027

End-to-End Automated Driving Under Camera Degradation: Planning Tolerance Thresholds and Closed-Loop Evidence

H. Que, H. Yao*

SPACE: Swarm Pheromone Fields for Adaptive Collision-Aware Exploration

Haohua Que, Haojia Gao, Mingkai Liu, Qian Zhang, Jiajun Sun, Fei Qiao

Accepted

Paper PDF

SMC2026

CABLE: Cloud-Assisted Bandwidth-efficient LMM-based Encoding for V2X Systems

Haohua Que, Zhipeng Bao, Qianyi Wu, Handong Yao*

Accepted

Paper PDF

IROS2026

SenseExpo: Spatial Exploration and Navigation Via Scene Estimation from Expeditious Predictive Operators

Haojia Gao†, Haohua Que†, Mingkai Liu, Jiayue Xie, Hoiian Au, Yusen Qin, Qian Zhang, Jiajun Sun, Weihao Shan, Tianle Zhu, Fei Qiao*, Handong Yao*

Accepted

Paper PDF

IROS2026

ACESplat: Accelerated 3D Gaussian Scene Regression Via RGB and Poses Only

Mingkai Liu†, Haohua Que†, Dikai Fan, Haojia Gao, Tianle Zhu, Handong Yao, Qian Zhang, Ruopeng Zhang, Xianliang Huang, Fei Qiao*

Accepted

Paper PDF

IROS2026

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception

Tianle Zhu†, Haohua Que†, Hongyi Xu, Handong Yao*, Zhipeng Bao

Accepted

Paper PDF Code

WCCI / IJCNN2026

MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles

Haohua Que, Mingkai Liu, Jiayue Xie, Haojia Gao, Jiajun Sun, Hongyi Xu, Handong Yao, Fei Qiao

Accepted

Paper PDF

ICRA2026

MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering

Mingkai Liu, Dikai Fan, Haohua Que, Haojia Gao, Xiao Liu, Shuxue Peng, Meixia Lin, Shengyu Gu, Ruicong Ye, Wanli Qiu, Handong Yao, Ruopeng Zhang, Xianliang Huang

Accepted

Paper PDF

ICTD2026

Road Infrastructure Readiness Evaluation for Commercial Low-Level Autonomous Vehicles

Tianle Zhu, Haohua Que, Handong Yao

Accepted

Project & conference record Related poster

QUINTONQUE.

Intelligence,in the real world.

When does a camera failure become a driving failure?

Bringing 3D perception onto the FPGA.

A shared sense of where to explore next.

Share the meaning. Save the bandwidth.

Hi, I'm Quinton.

My pathso far.

Graduate Research Assistant

Research Assistant & Robotics Team Lead

Robotics Engineering Intern

Project Management Intern

Team Member & Captain (2023)

Research Assistant

Along the way

Best Student Paper Award Nominee

Best Paper Award

First Prize

Third Prize

Ideas, on paper.

SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping

When Does Corruption Break the Plan? A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving

FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving

End-to-End Automated Driving Under Camera Degradation: Planning Tolerance Thresholds and Closed-Loop Evidence

SPACE: Swarm Pheromone Fields for Adaptive Collision-Aware Exploration

CABLE: Cloud-Assisted Bandwidth-efficient LMM-based Encoding for V2X Systems

SenseExpo: Spatial Exploration and Navigation Via Scene Estimation from Expeditious Predictive Operators

ACESplat: Accelerated 3D Gaussian Scene Regression Via RGB and Poses Only

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception

MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles

MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering

Road Infrastructure Readiness Evaluation for Commercial Low-Level Autonomous Vehicles

QUINTON
QUE.

Intelligence,
in the real world.

My path
so far.