Feixiang Ruan

About

I am Feixiang Ruan, an undergraduate student majoring in Automation at the College of Electronic and Information Engineering, Tongji University. I will continue my studies at Shenzhen Graduate School, Peking University, advised by Prof. Daquan Zhou. My research interests include dexterous manipulation and robot evaluation.

I spent a rewarding year as a research assistant at the Institute for Interdisciplinary Information Sciences, Tsinghua University, working with Ruoqu Chen and Prof. Mengdi Xu. I also conducted research as an Algorithm Engineer in SHARPA's Academia Group, under the mentorship of Kaifeng Zhang.

News

2026-09 — Our paper DEX-X has been accepted to the Conference on Robot Learning (CoRL) 2026.

Publications

Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens

Ruiyang Si, Jianxin Bi, Shunyu Yang, Rui Ni, Wenbo Huang, Qiang Wang, Shulong Jiang, Yintianrun Zhang, Feixiang Ruan, Kewei Zhang, Duomin Wang, Xiuyu Li, Haiwen Feng, Zhen Dong, and Daquan Zhou

Preprint, 2026

Abs arXiv Code Website

PyRUA-Lean lets robot agents compose action primitives into Python cells with local checks and retries, reducing repeated model calls and unnecessary visual feedback while improving task success.
Dex-X: Learning Visual-Tactile Dexterous Manipulation From Human Videos with Simulated Interaction

Ruoqu Chen, Feixiang Ruan, Liu Cao, Zihao Wang, Botian Xu, Shiqin Tong, Jiajun Liu, Mingzhi Pei, Chenyu Zhang, Wanli Xing, Kaifeng Zhang, and Mengdi Xu

Conference on Robot Learning (CoRL), 2026

RSS 2026 Workshop on Dexterous Manipulation (Spotlight), 2026

Abs arXiv Website

A framework that learns visual-tactile dexterous manipulation skills from human videos by leveraging simulated interaction, bridging the gap between passive human demonstrations and executable robot policies.
R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models

Yidi Wang^*, Feixiang Ruan^*, Ruoqu Chen, Jie Yin, Yang Yu, Mengdi Xu, and Kaifeng Zhang

Preprint, 2026

Abs arXiv Website

R2S-Eval combines real-to-sim calibration with vision-language model preference evaluation to produce reliable, stable, and quality-aware rankings of robot policies.

Internships

Research Assistant, IIIS, Tsinghua University

Advisor: Mengdi Xu

Collaborator: Ruoqu Chen

Algorithm Engineer, Academia Group, SHARPA

2025.11–2026.10

Mentor: Kaifeng Zhang

Awards & Honors

Academic Honors

2026-05 Qidi Scholarship Tongji University
2025-12 National Scholarship Tongji University
2024-12 Undergraduate First-Class Scholarship Tongji University
2023-12 National Scholarship Tongji University
2023-12 Outstanding Student Tongji University

Competitions

2025-08 National Second Prize China University Intelligent Robot Creative Competition
2025-05 5th Place, Robot Skills Challenge VEX Robotics World Championship — VEX U (High Stakes)
2024-12 National Second Prize China Intelligent Robot Combat & Competition
2024-11 National First Prize (Champion) China Robot Competition & RoboCup China Open
2024-05 4th Place, Robot Skills Challenge VEX Robotics World Championship — VEX U (Over Under)