I'm a Ph.D. student in Computer Science at the University of Texas at Austin, advised by Professor Joydeep Biswas. I graduated from the University of Virginia with a B.Science in Computer Engineering in 2022.
My research focuses on leveraging imitation learning, reinforcement learning, LLMs, and diffusion models to empower autonomous robots to understand and carry out human instructions while navigating safely and in compliance with social norms within human environments.
I am also a part of the Learning Directed Operating System (LDOS) project, an NSF CISE Expedition in Computing.
Deploying and Evaluating LLMs to Program Service Mobile Robots
Zichao Hu, Francesca Lucchetti, Claire Schlesinger, Yash Saxena, Anders Freeman, Sadanand Modak, Arjun Guha, Joydeep Biswas
Robotics and Automation Letters (RA-L 2024)
Paper / Project Website
Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds
Amir Hossain Raj*, Zichao Hu*, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao
IEEE International Conference on Robotics and Automation (ICRA 2024). Joint first Author.
Paper
Efficient 2D Graph SLAM for Sparse Sensing
Hanzhi Zhou*, Zichao Hu*, Sihang Liu, Samira Khan
International Conference on Intelligent Robots and Systems (IROS 2022). Joint first Author.
Paper / Video
On a Foundation Model for Operating Systems
Divyanshu Saxena, et al.
Machine Learning for Systems Workshop (NeurIPS 2023).
Paper
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning CodeLLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha, Joydeep Biswas
Under Review.
Paper / Project Website
SoMaSLAM: 2D Graph SLAM for Sparse Range Sensing with Soft Manhattan World Constraints
Jeahn Han, Zichao Hu, Seonmo Yang, Minji Kim, Pyojin Kim
Under Review
Paper / Video
Joint Verification and Refinement of Language Models for Safety-Constrained Planning
Yunhao Yang, William Ward, Zichao Hu, Joydeep Biswas, Ufuk Topcu
Under Review
Paper