| Vision-only robot navigation in a neural radiance world M Adamkiewicz, T Chen, A Caccavale, R Gardner, P Culbertson, J Bohg, ... IEEE Robotics and Automation Letters 7 (2), 4606-4613, 2022 | 230 | 2022 |
| Decentralized adaptive control for collaborative manipulation P Culbertson, M Schwager 2018 IEEE international conference on robotics and automation (ICRA), 278-285, 2018 | 84 | 2018 |
| Decentralized adaptive control for collaborative manipulation of rigid bodies P Culbertson, JJ Slotine, M Schwager IEEE Transactions on Robotics 37 (6), 1906-1920, 2021 | 62 | 2021 |
| Coco: Online mixed-integer control via supervised learning A Cauligi, P Culbertson, E Schmerling, M Schwager, B Stellato, M Pavone IEEE Robotics and Automation Letters 7 (2), 1447-1454, 2021 | 42 | 2021 |
| Learning mixed-integer convex optimization strategies for robot planning and control A Cauligi, P Culbertson, B Stellato, D Bertsimas, M Schwager, M Pavone 2020 59th IEEE conference on decision and control (CDC), 1698-1705, 2020 | 42 | 2020 |
| Trajectotree: Trajectory optimization meets tree search for planning multi-contact dexterous manipulation C Chen, P Culbertson, M Lepert, M Schwager, J Bohg 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 33 | 2021 |
| Robust safety under stochastic uncertainty with discrete-time control barrier functions RK Cosner, P Culbertson, AJ Taylor, AD Ames arXiv preprint arXiv:2302.07469, 2023 | 25 | 2023 |
| Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning P Slade, P Culbertson, Z Sunberg, M Kochenderfer 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 19 | 2017 |
| CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes T Chen, P Culbertson, M Schwager IEEE Transactions on Robotics, 2024 | 13 | 2024 |
| Multi-robot assembly sequencing via discrete optimization P Culbertson, S Bandyopadhyay, M Schwager 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 13 | 2019 |
| Input-to-state stability in probability P Culbertson, RK Cosner, M Tucker, AD Ames 2023 62nd IEEE Conference on Decision and Control (CDC), 5796-5803, 2023 | 7 | 2023 |
| Generative modeling of residuals for real-time risk-sensitive safety with discrete-time control barrier functions RK Cosner, I Sadalski, JK Woo, P Culbertson, AD Ames 2024 IEEE International Conference on Robotics and Automation (ICRA), i-viii, 2024 | 6 | 2024 |
| Frogger: Fast robust grasp generation via the min-weight metric AH Li, P Culbertson, JW Burdick, AD Ames 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| Dexterous manipulation primitives for the real robot challenge C Chen, K Srinivasan, J Zhang, J Zhang, L Shao, S Yuan, P Culbertson, ... arXiv preprint arXiv:2101.11597, 2021 | 5 | 2021 |
| Bounding Stochastic Safety: Leveraging Freedman’s Inequality with Discrete-Time Control Barrier Functions RK Cosner, P Culbertson, AD Ames IEEE Control Systems Letters, 2024 | 2 | 2024 |
| Multi-robot assembly scheduling for the lunar crater radio telescope on the far-side of the moon P Culbertson, S Bandyopadhyay, A Goel, P McGarey, M Schwager 2022 IEEE Aerospace Conference (AERO), 1-9, 2022 | 1 | 2022 |
| DROP: Dexterous Reorientation via Online Planning AH Li, P Culbertson, V Kurtz, AD Ames arXiv preprint arXiv:2409.14562, 2024 | | 2024 |
| Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping AH Li, P Culbertson, AD Ames arXiv preprint arXiv:2403.07249, 2024 | | 2024 |
| PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability AH Li, P Culbertson, AD Ames arXiv preprint arXiv:2309.16930, 2023 | | 2023 |
| Planning and Control for Multi-Robot Manipulation and Assembly In Unstructured Environments PD Culbertson Stanford University, 2022 | | 2022 |
Mac SchwagerStanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
