| Integrated task and motion planning CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ... Annual review of control, robotics, and autonomous systems 4 (1), 265-293, 2021 | 439 | 2021 |
| Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning CR Garrett, T Lozano-Pérez, LP Kaelbling Proceedings of the international conference on automated planning and …, 2020 | 205 | 2020 |
| Ffrob: An efficient heuristic for task and motion planning CR Garrett, T Lozano-Pérez, LP Kaelbling Algorithmic Foundations of Robotics XI: Selected Contributions of the …, 2015 | 177 | 2015 |
| Ffrob: Leveraging symbolic planning for efficient task and motion planning CR Garrett, T Lozano-Perez, LP Kaelbling The International Journal of Robotics Research 37 (1), 104-136, 2018 | 169 | 2018 |
| Online replanning in belief space for partially observable task and motion problems CR Garrett, C Paxton, T Lozano-Pérez, LP Kaelbling, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 5678-5684, 2020 | 115 | 2020 |
| Learning compositional models of robot skills for task and motion planning Z Wang, CR Garrett, LP Kaelbling, T Lozano-Pérez The International Journal of Robotics Research 40 (6-7), 866-894, 2021 | 105 | 2021 |
| Platform-independent benchmarks for task and motion planning F Lagriffoul, NT Dantam, C Garrett, A Akbari, S Srivastava, LE Kavraki IEEE Robotics and Automation Letters 3 (4), 3765-3772, 2018 | 87 | 2018 |
| Sampling-based methods for factored task and motion planning CR Garrett, T Lozano-Pérez, LP Kaelbling The International Journal of Robotics Research 37 (13-14), 1796-1825, 2018 | 84 | 2018 |
| Active model learning and diverse action sampling for task and motion planning Z Wang, CR Garrett, LP Kaelbling, T Lozano-Pérez 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 77 | 2018 |
| Backward-forward search for manipulation planning CR Garrett, T Lozano-Pérez, LP Kaelbling 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 69 | 2015 |
| Long-horizon manipulation of unknown objects via task and motion planning with estimated affordances A Curtis, X Fang, LP Kaelbling, T Lozano-Pérez, CR Garrett 2022 International Conference on Robotics and Automation (ICRA), 1940-1946, 2022 | 46 | 2022 |
| Learning to rank for synthesizing planning heuristics CR Garrett, LP Kaelbling, T Lozano-Pérez arXiv preprint arXiv:1608.01302, 2016 | 42 | 2016 |
| Sample-based methods for factored task and motion planning C Garrett, T Lozano-Pérez, L Kaelbling Robotics: Science and Systems Foundation, 2017 | 38 | 2017 |
| Stripstream: Integrating symbolic planners and blackbox samplers CR Garrett, T Lozano-Pérez, LP Kaelbling arXiv preprint arXiv:1802.08705, 2018 | 22 | 2018 |
| Cooperative task and motion planning for multi-arm assembly systems J Chen, J Li, Y Huang, C Garrett, D Sun, C Fan, A Hofmann, C Mueller, ... arXiv preprint arXiv:2203.02475, 2022 | 20 | 2022 |
| Imitating task and motion planning with visuomotor transformers M Dalal, A Mandlekar, C Garrett, A Handa, R Salakhutdinov, D Fox arXiv preprint arXiv:2305.16309, 2023 | 19 | 2023 |
| Automated sequence and motion planning for robotic spatial extrusion of 3D trusses Y Huang, CR Garrett, CT Mueller Construction Robotics 2 (1), 15-39, 2018 | 19 | 2018 |
| Curobo: Parallelized collision-free robot motion generation B Sundaralingam, SKS Hari, A Fishman, C Garrett, K Van Wyk, V Blukis, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 8112-8119, 2023 | 17 | 2023 |
| Sequence-based plan feasibility prediction for efficient task and motion planning Z Yang, CR Garrett, T Lozano-Pérez, L Kaelbling, D Fox arXiv preprint arXiv:2211.01576, 2022 | 16 | 2022 |
| Strips planning in infinite domains CR Garrett, T Lozano-Pérez, LP Kaelbling arXiv preprint arXiv:1701.00287, 2017 | 16 | 2017 |
Tomas Lozano-PerezProfessor of Computer Science, MITBestätigte E-Mail-Adresse bei mit.edu
