I am a Ph.D. student in Computer Science at the University of California Davis, where I am part of the Laboratory for AI, Robotics and Automation (LARA), under the guidance of Dr. Iman Soltani. Before starting my Ph.D., I was a Master’s student at the same lab, and I received my B.S. in Mechanical Engineering from Hanyang University in Seoul, South Korea.

My research focuses on developing robotic systems capable of mimicking “real” human behavior and dexterity in complex and unstructured environments. In that regard, my recent works are aimed at bimanual coordination and human-like perception.

I am actively looking for internship opportunities for 2025! Please reach out if your team has any open positions!

Updates
  • OCT'24 "Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation" got accepted at Workshop on Whole-body Control and Bimanual Manipulation at CoRL 2024!
  • OCT'24 We released the code and code (VR) for AV-ALOHA!
  • SEP'24 "InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation" got accepted at CoRL 2024!
  • MAY'24 I received the Summer Ph.D. Fellowship from UC Davis Computer Science Graduate Group!
Publications

Most recent publications on Google Scholar.
* indicates equal contribution.

Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation
Ian Chuang*, Andrew Lee*, Dechen Gao, Iman Soltani
Workshop on Whole-body Control and Bimanual Manipulation @ CoRL 2024
preprint 2024

tl;dr We introduce AV-ALOHA, a bimanual robot system with 7-DoF active vision that is an extension of ALOHA 2. This system offers an immersive teleoperation experience using VR and serves as a platform to evaluate active vision in imitation learning and manipulation.
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation
Andrew Lee, Ian Chuang, Ling-Yuan Chen, Iman Soltani
Conference on Robot Learning (CoRL) 2024
tl;dr InterACT builds on the concept of hierarchical attention mechanisms, capturing and extracting the inter-dependencies between dual-arm joint positions and visual inputs. By doing so, InterACT guides the two arms to perform bimanual tasks with precision—independently yet in seamless coordination.
Experiences
Graduate Student Researcher at LARA
UC Davis
2023.05 - Present