I’m Chendong Xin, a senior undergraduate at Tsinghua University. I am currently working with Prof. Xiang Li at the Intelligent Robotic Manipulation Lab in the Department of Automation. I have also worked with Prof. Shuran Song at the REALab at Stanford University. My research focuses on robotic manipulation, with an emphasis on learning from human data and enabling dexterous, contact-rich manipulations. I am particularly interested in building robot learning systems that work reliably in real-world settings.
My interest in robotics started when I participated in the FIRST Robotics Competition (Team 6907) during high school.
I am an incoming PhD student at Georgia Tech, where I will work with Prof. Danfei Xu.
Research Interests
My work focuses on bridging the gap between human dexterity and robotic capabilities:
🧠 Learning from Demonstration - Imitation learning to learn from human experts
🤖 Human-to-Robot Teleoperation - Teleoperation algorithms and systems for data collection
🖐️ Dexterous Manipulation - Developing methods for complex robotic hand control
🧩 Vision-Language-Action (VLA) Models — Foundation models for generalizable robotic manipulation
Quick Links
🔬 Projects - Current and past research projects
📚 Publications - Journal and conference publications
📋 CV - Complete curriculum vitae
Latest Updates
- [2026.1.15] - Our paper Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation is accepted by IEEE Robotics and Automation Practice!
- [2025.6.21] - I start my internship at Stanford REALab as an undergraduate visiting student, working with Prof. Shuran Song!
- [2025.5.22] - We win the Picking-in-Clutter Track of the Robotics Grasping and Manipulation Competition (RGMC) at ICRA 2025!
- [2025.5.19] - I present our paper Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation at ICRA 2025 Workshop “Handy Moves: Dexterity in Multi-Fingered Hands”!
Education
Undergraduate Student
Tsinghua University
Department of Automation
Research Advisor: Xiang Li
2022 - Present
Internship Experience
Undergraduate Research Intern
Stanford University
Advisor: Shuran Song
2025
Contact
I’m always interested in discussing robotics, AI, and potential collaborations. Feel free to reach out via email or connect with me on GitHub!