Yixuan Huang

Hi there, I'm Yixuan Huang!

I'm a fourth-year Ph.D. student in the Kahlert School of Computing at the University of Utah. I am fortunate to be advised by Prof. Tucker Hermans. My research focuses on perception, reasoning, and planning for multi-object manipulation tasks. I am currently a Visting Student Researcher (VSR) at Stanford University working with Prof. Jeannette Bohg.

Previously, I worked on sample-efficient reinforcement learning and safe autonomous driving at UC San Diego for two years advised by Prof. Sicun Gao. I got my bachelor degree in Computer Science and Engineering from Northeastern University (China) in 2020.

Email  /  CV  /  Google Scholar

profile photo
tendon Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models

Yixuan Huang, Jialin Yuan, Chanho Kim, Pupul Pradhan, Bryan Chen, Li Fuxin, Tucker Hermans.
International Conference on Robotics and Automation (ICRA) 2024
2023 CoRL Workshop for Neural Representation Learning for Robot Manipulation
project page / arXiv

tendon Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers

Yixuan Huang, Nichols Crawford Taylor, Adam Conkey, Weiyu Liu, Tucker Hermans.
IEEE Transactions on Robotics (T-RO)
2023 IROS Workshop Causality for Robotics
project page / arXiv / code

RD Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers

Yixuan Huang, Adam Conkey, Tucker Hermans.
International Conference on Robotics and Automation (ICRA) 2023
project page / arXiv / code

tendon Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots

Yixuan Huang, Michael Bentley, Tucker Hermans, Alan Kuntz.
International Symposium on Medical Robotics (ISMR) 2021
Best Paper Award Finalist, Best Student Paper Award Finalist
project page / arXiv

Website source from Jon Barron