|
🦊🦁🐮🐹🐰🐸🐶🐻🐨🐯 I am a Master student in Institute for Interdisciplinary Information Science (IIIS) at Tsinghua University, advised by Prof. Yang Gao🥳. Currently, my research interests mainly focus on Embodied AI and Robot Learning (Tactile Manipulation, Egocentric Human Data, RL). I am also interested in and exploring venture capital and quantitative investment. Perviously, I received my bachelor degree from the HongYi Honor class at the School of CS, Wuhan University😘, where I win the highest-level scholarship (10/60k+), Lei Jun Outstanding Scholarship with 100k RMB reward. I am also minoring in Law at School of Law. I have also interned at Sharpa, MoonshotAI and Huawei. I welcome exploration, creation and excitement! 🤗🤩🤪 Google Scholar / Github / X(Twitter) / RedBook / WeBlog / Zhihu |
contact me: ycb24@mails.tsinghua.edu.cn michaelyuancb@163.com |
|
|
Chengbo Yuan (Project Leader), FTP-1 Team* project page / arXiv / code / model / dataset In Submission, 2026 FTP-1 is the first generalist foundation tactile policy across different tactile sensors for contact-rich manipulation. Pretrained on 3000 hours of tactile manipulation across 21 tactile sensors and 26 data sources, FTP-1 learns general tactile knowledge that can even transfer to unknown sensors. |
|
|
Chengbo Yuan, Rui Zhou*, Mengzhen Liu*, Yingdong Hu, Shengjie Wang, Li Yi, Chuan Wen, Shanghang Zhang, Yang Gao project page / arXiv / code / dataset International Conference on Robotics & Automation (ICRA), 2026 MotionTrans is our first framework directly transfers motions of 13 human tasks to end-to-end policies (RGB-to-Action). The framework is designed at a systematic level, including data collection toolkit, human-to-robot data processing, and a weighted multi-task cotraining strategy. |
|
|
Chengbo Yuan*, Suraj Joshi*, Shaoting Zhu*, Hang Su, Hang Zhao, Yang Gao project page / arXiv / code / dataset International Conference on Intelligent Robots and Systems (IROS), 2025 RoboEngine is the first plug-and-play visual robot data augmentation toolkit. Users can effortlessly generate physics-aware robot scenes with few lines code. This enable training only in one scenes and visual generalizing to almost arbitrary scenes. |
|
|
Chengbo Yuan, Geng Chen, Li Yi, Yang Gao project page / arXiv / code / thread International Conference on Computer Vision (ICCV), 2025 We train EgoMono4D, a fast, dense and generalizable 4D reconstruction model for egocentric videos with label-free self-supervised methods. The training is conducted sole on unlabeled videos, potentially to apply to more label-scarce fields in the future. |
|
|
Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao project page / arXiv / code / openreview / thread Conference on Robot Learning (CoRL), 2024 We build a 3D flow prediction model directly from large-scale RGBD human video datasets. Based on this model, we achieve stable zero-shot human-to-robot skill transfer in the real world. |
 |
A library for asset pricing (Q-quant) based on MindSpore gitee This is an AI+Finance project I participated in, where we built a high-performance library for derivative pricing based on MindSpore. It offers features such as Black-Scholes calculations, Monte Carlo simulations, and solutions to Backward SDE. |
 |
A tabular prediction library designed for financial stock prediction. github This is one of the outcomes of an interesting experience, during which I worked with Prof. Jian Li on stock prediction problems. It provide rich tools for factors extraction and results prediction. |
 |
A course forum powered by Large Language Models (LLMs) and Vector Databases (VD). gitee This is a project I led, and it also serves as the final assignment for the Software Engineering course at Wuhan University. The forum utilizes AI technology to offer natural language course selection and intelligent back-end information management. |
|
|
|
|
This template is a modification to Yiran Geng's and Jon Barron's website. |