Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. - Patrick Slade; Preston Culbertson; Zachary Sunberg; Mykel J. Kochenderfer (IROS, 2017)

Decentralized Adaptive Control for Collaborative Manipulation. - Preston Culbertson; Mac Schwager (ICRA, 2018)

Multi-Robot Assembly Sequencing via Discrete Optimization. - Preston Culbertson; Saptarshi Bandyopadhyay; Mac Schwager (IROS, 2019)

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. - Abhishek Cauligi; Preston Culbertson; Bartolomeo Stellato; Dimitris Bertsimas; Mac Schwager; Marco Pavone 001 (CDC, 2020)

TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. - Claire Chen; Preston Culbertson; Marion Lepert; Mac Schwager; Jeannette Bohg (IROS, 2021)

Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies. - Preston Culbertson; Jean-Jacques E. Slotine; Mac Schwager (IEEE Trans. Robotics, 2021)

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)

CoCo: Online Mixed-Integer Control Via Supervised Learning. - Abhishek Cauligi; Preston Culbertson; Edward Schmerling; Mac Schwager; Bartolomeo Stellato; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2022)

Input-to-State Stability in Probability. - Preston Culbertson; Ryan K. Cosner; Maegan Tucker; Aaron D. Ames (CDC, 2023)

FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric. - Albert H. Li; Preston Culbertson; Joel W. Burdick; Aaron D. Ames (IROS, 2023)

Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. - Ryan K. Cosner; Preston Culbertson; Andrew J. Taylor; Aaron D. Ames (Robotics: Science and Systems, 2023)

PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability. - Albert H. Li; Preston Culbertson; Aaron D. Ames (CoRR, 2023)

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 (CoRL, 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 (ICRA, 2024)

Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping. - Albert H. Li; Preston Culbertson; Aaron D. Ames (IROS, 2024)

DROP: Dexterous Reorientation via Online Planning. - Albert H. Li; Preston Culbertson; Vince Kurtz; Aaron D. Ames (CoRR, 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)

CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes. - Timothy Chen; Preston Culbertson; Mac Schwager (IEEE Trans. Robotics, 2024)

SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. - Lizhi Yang; Blake Werner; Ryan K. Cosner; David Fridovich-Keil; Preston Culbertson; Aaron D. Ames (CoRR, 2025)

Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control. - Albert H. Li; Brandon Hung; Aaron D. Ames; Jiuguang Wang; Simon Le Cleac'h; Preston Culbertson (CoRR, 2025)