About Me
I am a second-year Ph.D student in Computer Science at the University of Texas at Austin, advised by Professor Joydeep Biswas. My research interests lie in applying and fine-tuning large vision language models (LLMs/VLMs) for robot navigation.
EDUCATION
2022 - present
Ph.D Computer Science Robotics
University of Texas at Austin
GPA: 3.83/4.0
2018 - 2022
B.S. Computer Engineering
University of Virginia
GPA: 3.97/4.0, Major GPA: 3.93/4.0
Publications
2023
Deploying and Evaluating LLMs to Program Service Mobile Robots [arvix] [code] [website]
IEEE Robotics and Automation Letters (RA-L) 2024 (under review)
Zichao Hu, Francesca Lucchetti, Claire Schlesinger, Yash Saxena, Anders Freeman, Sadanand Modak, Arjun Guha, and Joydeep Biswas
Targeted Learning: A Hybrid Approach to Social Robot Navigation [arvix] [video]
IEEE International Conference on Robotics and Automation (ICRA) 2024 (under review)
Amir Hossain Raj*, Zichao Hu*, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, and Xuesu Xiao (*equal contribution)
Work Experience
2019 - 2020
Fullstack Web Developer Intern
Scanoptix Inc., Charlottesville, VA
Developed the Scanoptix's medical imaging Website with Angular 9, AWS S3/Lambdas, and GraphQL
Implemented a image processing pipeline to achieve zooming, rotating, cropping, tuning functionalities and filter out noises using gamma correction
Set up a dockerized localstack and used Postman API to emulate the AWS workflow
Used OAuth 2.0 as the protocol to perform authentication and authorization
