Yixuan Huang
Scholar

Yixuan Huang

Google Scholar ID: m0XFTIoAAAAJ
Princeton University
RoboticsRobot LearningManipulation
Citations & Impact
All-time
Citations
62
 
H-index
5
 
i10-index
2
 
Publications
8
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published several papers, including 'Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference' (CoRL, 2025); 'Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics' (ICRA, 2025), and one work nominated as Best Paper Award Finalist and Best Student Paper Award Finalist at ISMR 2021.
Research Experience
  • Currently a Postdoctoral Research Associate at Princeton University, working with Prof. Tom Silver; involved in multiple research projects related to robot manipulation during Ph.D. studies.
Education
  • Received a bachelor's degree in Computer Science and Engineering from Northeastern University in 2020, worked with Prof. Sicun Gao at UC San Diego; completed Ph.D. in the Kahlert School of Computing at the University of Utah, advised by Prof. Tucker Hermans; during Ph.D., was a Visiting Student Researcher (VSR) at Stanford University, working with Prof. Jeannette Bohg.
Background
  • Research interests include grounding logical goals and sensory information in robot skills. Specifically, studies planning for robot manipulation with learned relational dynamics, focusing on learning to predict relational dynamics from partial-view point clouds, enabling the robot to solve challenging real-world tasks.
Miscellany
  • Contact information includes email yh1542[at]princeton.edu, LinkedIn, GitHub, and other online profiles.