July 2026
Organized Workshop for Yale Pathways to Science
For the second year in a row, I hosted multiple workshop sessions on robotics + AI for Yale Pathways to Science, a summer program for local New Haven high school students interested in STEM.
Teeratham {TJ} Vitchutripop
Robotics x Machine Learning Ph.D. Student
📍 Yale University
Hello 👋 I'm a third-year Ph.D. student in Computer Science at Yale University performing research in the Applied Planning, Learning, and Optimization (APOLLO) Lab, where I am advised by Daniel Rakita.
My research investigates how temporally-grounded experiential and interactive learning can be realized in embodied computational systems. I'm interested in designing machine learning agents that are, not only adept at processing the static content of experience, but also how it unravels across a continuous unstructured temporal axis. This effort involves representing moments and intervals of time and forging effective compositional, hierarchical abstractions over time. Thus, my work is closely aligned to the domains of continual learning and reinforcement learning with concrete applications to robotics. I am motivated by the end-goal of developing robotic systems that can meaningfully learn and adapt over longitudinal deployment in human-centric environments (e.g., home + assistive robotics) and operate efficiently in real-time critical scenarios (e.g., surgery, disaster response).
📢 News
March 2025
Selected as 2025 FASPE Design & Technology Fellow
I'm excited to share that I have been selected as a 2025 FASPE Design & Technology Fellow! FASPE is a fully-funded intensive program in professional ethics and ethical leadership held over two weeks in Germany and Poland, with a network of over 900 alumni worldwide across six professional disciplines. I look forward to learning a lot and exchanging ideas on ethical decision-making as a fellow!
August 2024
Starting Ph.D. at Yale!
I begin my Ph.D. in Computer Science at Yale University, where I'll be working in the APOLLO Lab led by Daniel Rakita. I'm excited to continue working on research in robot learning for manipulation!
📄 Publications
Preprint 2026
Stop Spatializing Time: Machine Learning Agents Should Learn Through Time, Not About Time
Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang, Daniel Rakita
In Submission 2026
An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics
Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang, Richard Xue, Daniel Rakita
In Submission 2026
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Haoxiang You, Yilang Liu, Davis Zong, Qian Wang, Teeratham Vitchutripop, Qi Wang, Daniel Rakita, Ian Abraham
Journal of Robotic Surgery 2026
Deep learning approach for critical exposure during division of the inferior mesenteric artery in colorectal surgery
Justin Bader, Xiatao Sun, Tripp Rosenfelt, Alexis Ramirez-Hardy, Teeratham Vitchutripop, Anand Srinivasan, Haddon Pantel, Amit Khanna, Daniel Rakita
Journal of Robotic Surgery 2026
AI-Powered Semantic Segmentation Model for Enhanced Ureteral Mapping and Real-Time Instrument Feedback in Robotic Colorectal Surgery
Justin Bader, Xiatao Sun, Tripp Rosenfelt, Alexis Ramirez-Hardy, Netanel Sapir, Rachel Scheub, Teeratham Vitchutripop, Amit Khanna, Haddon Pantel, Daniel Rakita
Submitted 2024
Unsupervised Deep Instruction Tuning for Few Shot Object Segmentation
Jessica Brown*, Teeratham Vitchutripop*, Eric Cai, Jenny Wang, David Held
Submitted 2024
LASSO: Learning Latent Policies via State Space Modeling
Mohammad Samin Yasar, Teeratham Vitchutripop, Tariq Iqbal
