torulin at amazon dot com

I am a member of technical staff at Amazon Frontier AI & Robotics. I build real-world robot learning systems that acquire dexterous, generalizable, and robust skills through real and simulated experiences.

I received my PhD from Berkeley AI Research (BAIR), advised by Jitendra Malik, and was previously a visiting researcher at Meta FAIR and NVIDIA GEAR. I completed my BSc and MEng at MIT EECS.

for internship inquiries, please email me with your resume, research interests, and desired internship dates

Research

[visual overview]

My research focuses on building practical robot systems that scale. I am particularly interested in how to combine diverse learning sources to acquire robot skills that are dexterous, generalizable, and robust.

My recent work spans visuotactile bimanual manipulation, sim-to-real RL for dexterous hands, humanoid whole-body control, and preference-aligned manipulation.

I have worked with a range of robotic hardwares and sensors, including bimanual arms, multifingered hands, humanoids, RGBD cameras, force-torque sensors, and tactile sensors.

Publications

Teaching

I served as a teaching / lab assistant for the following courses.

  • UC Berkeley CS 294-277 Robots That Learn (Fall 2024)
  • MIT 6.819/6.869 Advances in Computer Vision (Spring 2021)
  • MIT 6.036 Introduction to Machine Learning (Fall 2019)
  • MIT 6.863/9.611 Natural Language Processing (Spring 2018)

Miscellaneous

Before transferring to MIT, I studied physics at The University of Tokyo. Earlier, I studied fine art in high school and almost went to RISD for undergraduate studies.

Outside of research, I enjoy reading philosophy, learning physics, and making art.

My old personal website is here.