Teeratham {TJ} Vitchutripop

Hello! I’m a first-year PhD 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 revolves around developing machine learning algorithms for robot perception and control grounded within the context of mobile manipulation, active vision, and continual learning.

Previously, I have worked in the Collaborative Robotics Lab at the University of Virginia led by Professor Tariq Iqbal, developing reinforcement learning algorithms for dynamic object manipulation. Additionally, I performed computer vision research centered around unsupervised instance segmentation for robotic manipulation at the Carnegie Mellon University Robotics Institute with the Robots Perceiving and Doing (R-PAD) Lab led by Professor David Held.

Aside from my research, I have explored the intersection of policy and science & technology through the UVA-MIT Policy Internship Program, where I interned at the National Science Foundation TIP directorate working on open-sourcing and analyzing data from the first iteration of the NSF Engines program. I also have industry experience in software engineering and test-driven development through an internship with interop.io.