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Zachary Kingston
Zachary Kingston
Postdoctoral Research Associate in Computer Science, Rice University
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
Incremental task and motion planning: A constraint-based approach.
NT Dantam, ZK Kingston, S Chaudhuri, LE Kavraki
Robotics: Science and systems 12, 00052, 2016
2322016
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
1802018
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
1552018
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
962019
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
712015
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
432021
Decoupling constraints from sampling-based planners
Z Kingston, M Moll, LE Kavraki
Robotics Research: The 18th International Symposium ISRR, 913-928, 2020
332020
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
282021
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
262020
Robowflex: Robot motion planning with MoveIt made easy
Z Kingston, LE Kavraki
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
222022
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
212017
Pipelined Consensus for Global State Estimation in Multi-Agent Systems.
G Habibi, ZK Kingston, Z Wang, M Schwager, J McLurkin
AAMAS, 1315-1323, 2015
162015
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
122021
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
102021
Kinematically constrained workspace control via linear optimization
ZK Kingston, NT Dantam, LE Kavraki
2015 IEEE-RAS 15th international conference on humanoid robots (humanoids …, 2015
92015
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
82021
Scaling Multimodal Planning: Using Experience and Informing Discrete Search
Z Kingston, LE Kavraki
IEEE Transactions on Robotics, 1-19, 2022
62022
Solving rearrangement puzzles using path defragmentation in factored state spaces
SB Bayraktar, A Orthey, Z Kingston, M Toussaint, LE Kavraki
IEEE Robotics and Automation Letters, 2023
22023
Object reconfiguration with simulation-derived feasible actions
Y Lee, W Thomason, Z Kingston, LE Kavraki
2023 IEEE International Conference on Robotics and Automation (ICRA), 8104-8111, 2023
22023
Optimal Grasps and Placements for Task and Motion Planning in Clutter
C Quintero-Pena, Z Kingston, T Pan, R Shome, A Kyrillidis, LE Kavraki
IEEE International Conference on Robotics and Automation, 2023
12023
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