Preston Culbertson
Scholar

Preston Culbertson

Google Scholar ID: 8v2kg_0AAAAJ
Assistant Professor, Cornell University
Risk-sensitive controlDexterous manipulationRobot learningRobot vision
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Citations & Impact
All-time
Citations
838
 
H-index
12
 
i10-index
16
 
Publications
20
 
Co-authors
10
list available
Contact
Emailpculbertson@cornell.eduCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
7 items
Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation
2026
Cited
0
TransMASK: Masked State Representation through Learned Transformation
2026
Cited
0
Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation
2025
Cited
0
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
2025
Cited
0
Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control
2025
Cited
0
SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics
2025
Cited
0
DROP: Dexterous Reorientation via Online Planning
arXiv.org · 2024
Cited
3
Resume (English only)
Background
  • Assistant Professor of Computer Science at Cornell University
  • Leads the Praxis Lab, focusing on how robots can learn to be robust and reliable in the real world
  • Research interests center on robustness in robot learning
  • Integrates machine learning, numerical optimization, and control theory to address reliability under imperfect models, sensors, or hardware
  • Aims to develop robotic systems that can manage uncertainty, adapt, and improvise in messy real-world environments
Co-authors
10 total
Mac Schwager
Mac Schwager
Stanford University
Aaron D. Ames
Aaron D. Ames
​​Bren Professor, Mechanical and Civil Engineering, Control and Dynamical Systems, Caltech
Jeannette Bohg
Jeannette Bohg
Assistant Professor, Stanford University
Ryan K. Cosner
Ryan K. Cosner
Assistant Professor, Tufts University
Timothy Chen
Timothy Chen
Stanford University
Abhishek Cauligi
Abhishek Cauligi
Robotics Technologist, NASA Jet Propulsion Lab
Marco Pavone
Marco Pavone
Stanford University and NVIDIA
Claire Chen
Claire Chen
PhD student, Stanford University