Robotics · Georgia Tech

Rui Yan

Building robots for
the real world.

I work on practical, deployable robotic systems that bridge research and real-world industrial applications.

Explore my research Get in touch
Rui Yan
Ph.D. student in RoboticsGeorgia Institute of Technology

A little background

I am a first-year Ph.D. student in Robotics at Georgia Tech, advised by Prof. Ye Zhao. I received my M.S. in Electrical and Computer Engineering from UC San Diego, advised by Prof. Xiaolong Wang. I previously worked with Prof. Fei Liu and Prof. Tianshu Yu. I am interested in building practical and deployable robotic systems that bridge research and real-world industrial applications.
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Latest news

Learning. Manipulation. Interaction.

Publications.

Google Scholar

Latest publicationConference on Robot Learning (CoRL 2026)

FACT: Failure-Aware Causal Training for World-Action Models

Quanquan Peng*, Yutong Liang*, Rui Yan, Nicklas Hansen, Xiaolong Wang

Website arXiv GitHub PDF

Conference on Robot Learning (CoRL 2026)

Long-Horizon Manipulation via Trace-Conditioned VLA Planning

Isabella Liu, An-Chieh Cheng, Rui Yan, Geng Chen, Ri-Zhao Qiu, Xueyan Zou, Sha Yi, Hongxu Yin, Xiaolong Wang, Sifei Liu

Website arXiv PDF

arXiv preprint

Human-Robot Copilot for Data-Efficient Imitation Learning

Rui Yan, Zaitian Gongye, Lars Paulsen, Xuxin Cheng, Xiaolong Wang

arXiv PDF

Robotics: Science and Systems (RSS 2025) Workshop

ACE-F: A Cross Embodiment Foldable System with Force Feedback for Dexterous Teleoperation

Rui Yan, Jiajian Fu, Shiqi Yang, Lars Paulsen, Xuxin Cheng, Xiaolong Wang

Website arXiv GitHub

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Ruihan Yang, Qinxi Yu, Yecheng Wu, Rui Yan, Borui Li, An-Chieh Cheng, Xueyan Zou, Yunhao Fang, Hongxu Yin, Sifei Liu, Song Han, Yao Lu, Xiaolong Wang

Website arXiv GitHub

From ideas to systems

Selected projects.

Attention-Driven Depth Fusion: Leveraging Focus and Single-Image Priors with Self-Cross Attention — method overview

Attention-Driven Depth Fusion: Leveraging Focus and Single-Image Priors with Self-Cross Attention

Rui Yan, Zaitian Gongye

We propose an end-to-end model that fuses a single RGB image and its defocus map using attention mechanisms to estimate depth. Instead of handcrafted fusion, it uses self- and cross-attention for uncertainty-aware refinement.

GitHub PDF Video

Beyond the publications

Experience & service.

Work experience

Jun 2023 - Dec 2023

Research Assistant at CUHKSZ, advised by Prof. Tianshu Yu

Jul 2021 - Aug 2021

Robot Engineer at NinboX Institute

Academic services

Conference Attendee

  • CES 2026, Las Vegas
  • CES 2025, Las Vegas
  • RSS 2025, Los Angeles, California | Wednesday, June 25th, 2025

Journal Reviewer

  • Currently NA

Rui Yan · Georgia Tech

Let’s connect.

ryan91@gatech.edu

Office · GTMI 377

Google Scholar ↗GitHub ↗