Picture taken by Tao Pang
I am a third-year PhD student at MIT, where I am advised by Prof. Russ Tedrake in the Robot Locomotion Group.
My research aims to scale realistic simulations for generating training data and evaluation benchmarks for robotic manipulation foundation models. I enjoy combining model-based and learning-based methods to tackle this challenge.
Before joining MIT, I completed my MEng at Imperial College London and spent nine months at Ocado Technology, where I worked on parallel yaw pick-and-place systems at scale.
Outside of academia, I am passionate about rock climbing, backpacking, Latin social dancing, and specialty coffee.
Steerable Scene Generation with Post Training and Inference-Time Search
Nicholas Pfaff,
Hongkai Dai,
Sergey Zakharov,
Shun Iwase,
Russ Tedrake
Conference on Robot Learning (CoRL 2025)
Best Poster award at RoboGen
Workshop, IROS 2025
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ArXiv •
GitHub •
News
Coverage
Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups
Nicholas Pfaff,
Evelyn Fu,
Jeremy Binagia,
Phillip Isola,
Russ Tedrake
International Conference on Intelligent Robots and Systems (IROS 2025)
New England Manipulation Symposium (NEMS 2025), Oral
Website •
ArXiv •
GitHub
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
Adam Wei,
Abhinav Agarwal,
Boyuan Chen,
Rohan Bosworth,
Nicholas Pfaff,
Russ Tedrake
International Conference on Intelligent Robots and Systems (IROS 2025)
Website •
ArXiv
How Well do Diffusion Policies Learn Kinematic Constraint Manifolds?
Lexi Foland,
Thomas Cohn,
Adam Wei,
Nicholas Pfaff,
Boyuan Chen,
Russ Tedrake
Under Review
Website •
ArXiv
I enjoy staying active in my free time. These days, that means bouldering several times a week. In the past, I competed in long-distance running, rowing, and Latin social dancing. During holidays, I often trek, backpack, or cycle in different parts of the world.