Preston Culbertson

According to our database, Preston Culbertson authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes.

Timothy Chen, Preston Culbertson, Mac Schwager

IEEE Trans. Robotics, 2024

Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Preston Culbertson, Aaron D. Ames

IEEE Control. Syst. Lett., 2024

Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer.

Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron D. Ames, Mac Schwager, Jeannette Bohg

CoRR, 2024

DROP: Dexterous Reorientation via Online Planning.

Albert H. Li, Preston Culbertson, Vince Kurtz, Aaron D. Ames

CoRR, 2024

Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping.

Albert H. Li, Preston Culbertson, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability.

Albert H. Li, Preston Culbertson, Aaron D. Ames

CoRR, 2023

Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric.

Albert H. Li, Preston Culbertson, Joel W. Burdick, Aaron D. Ames

IROS, 2023

Input-to-State Stability in Probability.

Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.

Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone

IEEE Robotics Autom. Lett., 2022

Vision-Only Robot Navigation in a Neural Radiance World.

Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager

IEEE Robotics Autom. Lett., 2022

2021

Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies.

Preston Culbertson, Jean-Jacques E. Slotine, Mac Schwager

IEEE Trans. Robotics, 2021

TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation.

Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.

Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Multi-Robot Assembly Sequencing via Discrete Optimization.

Preston Culbertson, Saptarshi Bandyopadhyay, Mac Schwager

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Decentralized Adaptive Control for Collaborative Manipulation.

Preston Culbertson, Mac Schwager

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.

Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017