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

	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
	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
	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
	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