Preston Culbertson

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Bayesian Reinforcement Learning

Adaptive Control

Optimization Strategies

Top Venues

IEEE Trans. Robotics

IEEE Robotics Autom. Lett.

Publications

Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions. CoRR (2024)
Albert H. Li, Preston Culbertson, Aaron D. Ames
Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping. CoRR (2024)
Timothy Chen, Preston Culbertson, Mac Schwager
CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes. IEEE Trans. Robotics 40 (2024)
Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions. IEEE Control. Syst. Lett. 8 (2024)
Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. ICRA (2024)
Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
Input-to-State Stability in Probability. CoRR (2023)
Albert H. Li, Preston Culbertson, Aaron D. Ames
PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability. CoRR (2023)
Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
Input-to-State Stability in Probability. CDC (2023)
Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. CoRR (2023)
Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. CoRR (2023)
Albert H. Li, Preston Culbertson, Joel W. Burdick, Aaron D. Ames
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric. IROS (2023)
Albert H. Li, Preston Culbertson, Joel W. Burdick, Aaron D. Ames
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric. CoRR (2023)
Timothy Chen, Preston Culbertson, Mac Schwager
CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes. CoRR (2023)
Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. Robotics: Science and Systems (2023)
Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager
Vision-Only Robot Navigation in a Neural Radiance World. IEEE Robotics Autom. Lett. 7 (2) (2022)
Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7 (2) (2022)
Preston Culbertson, Jean-Jacques E. Slotine, Mac Schwager
Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies. IEEE Trans. Robotics 37 (6) (2021)
Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. IROS (2021)
Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. CoRR (2021)
Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager
Vision-Only Robot Navigation in a Neural Radiance World. CoRR (2021)
Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR (2021)
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR (2020)
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC (2020)
Preston Culbertson, Jean-Jacques E. Slotine, Mac Schwager
Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies. CoRR (2020)
Preston Culbertson, Saptarshi Bandyopadhyay, Mac Schwager
Multi-Robot Assembly Sequencing via Discrete Optimization. IROS (2019)
Preston Culbertson, Mac Schwager
Decentralized Adaptive Control for Collaborative Manipulation. ICRA (2018)
Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. CoRR (2017)
Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. IROS (2017)