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ORCIDZachary K. Kingston
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2020 – today
- 2024
[c19]Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki:
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. ICRA 2024: 2360-2367- [c18]Wil Thomason, Zachary K. Kingston, Lydia E. Kavraki:
Motions in Microseconds via Vectorized Sampling-Based Planning. ICRA 2024: 8749-8756 - [c17]Khen Elimelech, Zachary K. Kingston, Wil Thomason, Moshe Y. Vardi, Lydia E. Kavraki:
Accelerating Long-Horizon Planning with Affordance-Directed Dynamic Grounding of Abstract Strategies. ICRA 2024: 12688-12695 - [i10]Clayton W. Ramsey, Zachary K. Kingston, Wil Thomason, Lydia E. Kavraki:
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking. CoRR abs/2406.02807 (2024) - [i9]Weihang Guo, Zachary K. Kingston, Lydia E. Kavraki:
CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning. CoRR abs/2410.22225 (2024) - 2023
- [j6]Servet B. Bayraktar, Andreas Orthey
, Zachary K. Kingston, Marc Toussaint, Lydia E. Kavraki:
Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces. IEEE Robotics Autom. Lett. 8(8): 4529-4536 (2023) - [j5]Zachary K. Kingston, Lydia E. Kavraki:
Scaling Multimodal Planning: Using Experience and Informing Discrete Search. IEEE Trans. Robotics 39(1): 128-146 (2023) - [c16]Carlos Quintero-Peña, Zachary K. Kingston, Tianyang Pan, Rahul Shome, Anastasios Kyrillidis, Lydia E. Kavraki:
Optimal Grasps and Placements for Task and Motion Planning in Clutter. ICRA 2023: 3707-3713 - [c15]Yiyuan Lee, Wil Thomason, Zachary K. Kingston, Lydia E. Kavraki:
Object Reconfiguration with Simulation-Derived Feasible Actions. ICRA 2023: 8104-8111 - [c14]Rahul Shome, Zachary K. Kingston, Lydia E. Kavraki:
Robots as AI Double Agents: Privacy in Motion Planning. IROS 2023: 2861-2868 - [i8]Yiyuan Lee, Wil Thomason, Zachary K. Kingston, Lydia E. Kavraki:
Object Reconfiguration with Simulation-Derived Feasible Actions. CoRR abs/2302.14161 (2023) - [i7]Rahul Shome, Zachary K. Kingston, Lydia E. Kavraki:
Robots as AI Double Agents: Privacy in Motion Planning. CoRR abs/2308.03385 (2023) - [i6]Wil Thomason, Zachary K. Kingston, Lydia E. Kavraki:
Motions in Microseconds via Vectorized Sampling-Based Planning. CoRR abs/2309.14545 (2023) - [i5]Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki:
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. CoRR abs/2309.16862 (2023) - 2022
- [j4]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics Autom. Lett. 7(2): 882-889 (2022) - [c13]Zachary K. Kingston, Lydia E. Kavraki:
Robowflex: Robot Motion Planning with MoveIt Made Easy. IROS 2022: 3108-3114 - [i4]S. Bora Bayraktar, Andreas Orthey, Zachary K. Kingston, Marc Toussaint, Lydia E. Kavraki:
Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces. CoRR abs/2212.02955 (2022) - 2021
- [c12]Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki:
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. ICRA 2021: 1283-1289 - [c11]Andrew M. Wells, Zachary K. Kingston, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi:
Finite-Horizon Synthesis for Probabilistic Manipulation Domains. ICRA 2021: 6336-6342 - [c10]Mark Moll, Constantinos Chamzas, Zachary K. Kingston, Lydia E. Kavraki:
HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization. IROS 2021: 2511-2518 - [c9]Zachary K. Kingston, Constantinos Chamzas, Lydia E. Kavraki:
Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems. IROS 2021: 6922-6927 - [i3]Zachary K. Kingston, Lydia E. Kavraki:
Robowflex: Robot Motion Planning with MoveIt Made Easy. CoRR abs/2103.12826 (2021) - [i2]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR abs/2112.06402 (2021) - 2020
- [c8]Zachary K. Kingston, Andrew M. Wells, Mark Moll, Lydia E. Kavraki:
Informing Multi-Modal Planning with Synergistic Discrete Leads. ICRA 2020: 3199-3205 - [i1]Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki:
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. CoRR abs/2010.15335 (2020)
2010 – 2019
- 2019
- [j3]Zachary K. Kingston, Mark Moll, Lydia E. Kavraki:
Exploring implicit spaces for constrained sampling-based planning. Int. J. Robotics Res. 38(10-11) (2019) - 2018
- [j2]Zachary K. Kingston, Mark Moll, Lydia E. Kavraki:
Sampling-Based Methods for Motion Planning with Constraints. Annu. Rev. Control. Robotics Auton. Syst. 1: 159-185 (2018) - [j1]Neil T. Dantam, Zachary K. Kingston, Swarat Chaudhuri, Lydia E. Kavraki:
An incremental constraint-based framework for task and motion planning. Int. J. Robotics Res. 37(10) (2018) - 2017
- [c7]William Baker, Zachary K. Kingston, Mark Moll, Julia Badger, Lydia E. Kavraki:
Robonaut 2 and you: Specifying and executing complex operations. ARSO 2017: 1-8 - [c6]Zachary K. Kingston, Mark Moll, Lydia E. Kavraki:
Decoupling Constraints from Sampling-Based Planners. ISRR 2017: 913-928 - 2016
- [c5]Golnaz Habibi, Sándor P. Fekete, Zachary K. Kingston, James McLurkin:
Distributed Object Characterization with Local Sensing by a Multi-robot System. DARS 2016: 205-218 - [c4]Neil T. Dantam, Zachary K. Kingston, Swarat Chaudhuri, Lydia E. Kavraki:
Incremental Task and Motion Planning: A Constraint-Based Approach. Robotics: Science and Systems 2016 - 2015
- [c3]Golnaz Habibi, Zachary K. Kingston, Zijian Wang, Mac Schwager, James McLurkin:
Pipelined Consensus for Global State Estimation in Multi-Agent Systems. AAMAS 2015: 1315-1323 - [c2]Zachary K. Kingston, Neil T. Dantam, Lydia E. Kavraki:
Kinematically constrained workspace control via linear optimization. Humanoids 2015: 758-764 - [c1]Golnaz Habibi, Zachary K. Kingston, William Xie, Mathew Jellins, James McLurkin:
Distributed centroid estimation and motion controllers for collective transport by multi-robot systems. ICRA 2015: 1282-1288
Coauthor Index
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