Nicholas Pfaff
Scholar

Nicholas Pfaff

Google Scholar ID: LDko8mYAAAAJ
MIT
RoboticsManipulationMachine Learning
Citations & Impact
All-time
Citations
18
 
H-index
2
 
i10-index
0
 
Publications
3
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Publications: 'Steerable Scene Generation with Post Training and Inference-Time Search' (CoRL 2025), 'Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups' (IROS 2025), etc.; Awards: Featured in MIT CSAIL Student Research Spotlight (2025), Graduate Teaching Award for MIT Schwarzman College of Computing (2025), Head of Department's prize from Imperial College London (2022).
Research Experience
  • Before joining MIT, worked at Ocado Technology for nine months on parallel yaw pick-and-place systems at scale; Interned at Toyota Research Institute's Large Behavior Models team from May 2024.
Education
  • PhD: Massachusetts Institute of Technology, Advisor: Prof. Russ Tedrake, Group: Robot Locomotion Group; MEng: Imperial College London.
Background
  • Research interests: scaling realistic simulations for generating training data and evaluation benchmarks, combining model-based and learning-based methods; Professional field: robotic manipulation foundation models; Bio: a third-year PhD student at MIT.
Miscellany
  • Interests: rock climbing, backpacking, Latin social dancing, specialty coffee.