Hi there
Welcome to my Homepage!
I am an incoming Master of Science in Robotics student at the Robotics Institute, Carnegie Mellon University, starting in Fall 2026.
I received my bachelor’s degree from the SJTU-Paris Elite Institute of Technology, Shanghai Jiao Tong University, majoring in French with a minor in Information Engineering.
During my undergraduate studies, I conducted research advised by Prof. Cewu Lu, working on simulated and real-world grasp evaluation pipelines. I also worked remotely with PAIR Lab under the supervision of Prof. Animesh Garg, where I focused on simulation for robotic grasping and generalized object manipulation. Moreover, I completed my graduation thesis under supervision by Prof. Jun-Guo Lu, working on reinforcement learning and behavior cloning for humanoid robot locomotion.
After receiving my bachelor’s degree, I completed internships at ByteDance Seed Robotics and AGIBOT. At ByteDance, I worked on scalable synthetic data generation and simulation evaluation for VLA policies, improving trajectory transformation and inverse kinematics for more efficient data generation. At AGIBOT, I built similar scalable synthetic data generation workflows for VLA policy training and developed VR teleoperation and intervention workflows for dexterous humanoid manipulation.
My research interests include embodied intelligence and robotic manipulation.
Acknowledgements: Thanks to Yue Su for his amazing website template.
News
- [Jul 2026] I have completed my internship at AGIBOT. So grateful to the team for their support and everything I learned!
- [Feb 2026] I have completed my internship at ByteDance Seed Robotics. Thanks to all colleagues for the wonderful experience!
- [Aug 2025] GBC is available on arXiv.
- [Aug 2025] AnyPlace has been accepted by CoRL 2025.
- [Jun 2025] I received my bachelor’s degree and was named Outstanding Graduate of Shanghai Jiao Tong University.
Experience


Aug 2021 - June 2025, Shanghai Undergraduate student and Outstanding Graduate of SJTU
Publications

Yifei Yao, Chengyuan Luo, Jiaheng Du, Wentao He, Jun-Guo Lu
GBC is a unified framework enabling generalized humanoid controllers across different robot morphologies by translating human motion to robot action.
arXiv Preprint [arXiv] [code] [website]

Yuchi Zhao, Miroslav Bogdanovic, Chengyuan Luo, Steven Tohme, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
AnyPlace is a synthetically trained two-stage method that uses a Vision-Language Model to predict feasible placement poses for real-world robotic tasks.
CoRL 2025 [arXiv] [code] [website]
Awards
Honours:
- Outstanding Graduate, Shanghai Jiao Tong University, June 2025
- Academic Scholarship (First Prize) (1/46), SJTU-Paris Elite Institute of Technology, November 2024
- Dean’s Scohlarship (1/73), SJTU-Paris Elite Institute of Technology, September 2023
Awards:
- Gold Medal (rank 15/641) in 46th International Collegiate Programming Contest (ICPC) Asia Regional Contest Nanjing Site, December 2021
- Gold Medal (rank 13/632) in 46th International Collegiate Programming Contest (ICPC) Asia Regional Contest Shanghai Site, November 2021
- Gold Medal (rank 7/240) in 7th China Collegiate Programming Contest (CCPC) Weihai Site, November 2021
- Gold Medal (rank 18) in CCF National Olympiad in Informatics Winter Camp (NOI WC), August 2020
