| Incremental task and motion planning: A constraint-based approach. NT Dantam, ZK Kingston, S Chaudhuri, LE Kavraki Robotics: Science and systems 12, 00052, 2016 | 187 | 2016 |
| Sampling-based methods for motion planning with constraints Z Kingston, M Moll, LE Kavraki Annual review of control, robotics, and autonomous systems 1, 159-185, 2018 | 120 | 2018 |
| An incremental constraint-based framework for task and motion planning NT Dantam, ZK Kingston, S Chaudhuri, LE Kavraki The International Journal of Robotics Research 37 (10), 1134-1151, 2018 | 116 | 2018 |
| Distributed centroid estimation and motion controllers for collective transport by multi-robot systems G Habibi, Z Kingston, W Xie, M Jellins, J McLurkin 2015 IEEE International Conference on Robotics and Automation (ICRA), 1282-1288, 2015 | 71 | 2015 |
| Exploring implicit spaces for constrained sampling-based planning Z Kingston, M Moll, LE Kavraki The International Journal of Robotics Research 38 (10-11), 1151-1178, 2019 | 63 | 2019 |
| Decoupling constraints from sampling-based planners Z Kingston, M Moll, LE Kavraki Robotics Research: The 18th International Symposium ISRR, 913-928, 2020 | 29 | 2020 |
| Informing Multi-Modal Planning with Synergistic Discrete Leads Z Kingston, AM Wells, M Moll, LE Kavraki 2020 IEEE International Conference on Robotics and Automation, 3199-3205, 2020 | 18 | 2020 |
| Learning sampling distributions using local 3d workspace decompositions for motion planning in high dimensions C Chamzas, Z Kingston, C Quintero-Peña, A Shrivastava, LE Kavraki 2021 IEEE International Conference on Robotics and Automation (ICRA), 1283-1289, 2021 | 17 | 2021 |
| Robonaut 2 and you: Specifying and executing complex operations W Baker, Z Kingston, M Moll, J Badger, LE Kavraki 2017 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 1-8, 2017 | 17 | 2017 |
| Pipelined Consensus for Global State Estimation in Multi-Agent Systems. G Habibi, ZK Kingston, Z Wang, M Schwager, J McLurkin AAMAS, 1315-1323, 2015 | 17 | 2015 |
| MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets C Chamzas, C Quintero-Pena, Z Kingston, A Orthey, D Rakita, M Gleicher, ... IEEE Robotics and Automation Letters 7 (2), 882-889, 2021 | 16 | 2021 |
| Robowflex: Robot motion planning with MoveIt made easy Z Kingston, LE Kavraki 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022 | 13 | 2022 |
| Finite-horizon synthesis for probabilistic manipulation domains M Wells, Z Kingston, M Lahijanian, LE Kavraki, MY Vardi 2021 IEEE International Conference on Robotics and Automation (ICRA), 6336-6342, 2021 | 10 | 2021 |
| Kinematically constrained workspace control via linear optimization ZK Kingston, NT Dantam, LE Kavraki 2015 IEEE-RAS 15th international conference on humanoid robots (humanoids …, 2015 | 10 | 2015 |
| HyperPlan: A framework for motion planning algorithm selection and parameter optimization M Moll, C Chamzas, Z Kingston, LE Kavraki 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems Z Kingston, C Chamzas, LE Kavraki 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 3 | 2021 |
| Distributed Object Characterization with Local Sensing by a Multi-robot System G Habibi, SP Fekete, Z Kingston, J McLurkin Distributed Autonomous Robotic Systems: The 13th International Symposium …, 2018 | 1 | 2018 |
| Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces SB Bayraktar, A Orthey, Z Kingston, M Toussaint, LE Kavraki arXiv preprint arXiv:2212.02955, 2022 | | 2022 |
| Scaling Multimodal Planning: Using Experience and Informing Discrete Search Z Kingston, LE Kavraki IEEE Transactions on Robotics, 1-19, 2022 | | 2022 |
Lydia E. KavrakiRice UniversityBestätigte E-Mail-Adresse bei rice.edu
