I’m Chendong Xin, an undergraduate researcher passionate about advancing robotics and AI technologies. Currently pursuing my studies while conducting research in robotic manipulation and human-robot interaction. My interest in robotics starts when I participate the FIRST Robotics Competition in my high school. (Our team number is 6907)
Background
I am particularly interested in robotic manipulation and the real-world deployment of robot learning methods. My research focuses on enabling robots to achieve human-level accuracy and robustness in manipulation tasks. In the long term, I aim to advance the capabilities of dexterous manipulation for complex tasks through learning-based approaches, and to bridge the gap between simulation and real-world performance.
Research Interests and Experiences
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-Based Grasping and Manipulation - Integrating computer vision with manipulation
Quick Links
🔬 Projects - Current and past research & course projects
📚 Publications - Journal and conference publications
📋 CV - Complete curriculum vitae
Latest Updates
- [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”!
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!