default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZachary Kingston
Zachary K. Kingston
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j10]Syed Talha Bukhari
, Kaivalya Agrawal, Zachary Kingston, Aniket Bera:
Variational Shape Inference for Grasp Diffusion on $\mathrm{SE(3)}$. IEEE Robotics Autom. Lett. 11(2): 2170-2177 (2026)- [j9]Weihang Guo, Zachary Kingston, Kaiyu Hang, Lydia E. Kavraki:
Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation. IEEE Robotics Autom. Lett. 11(4): 4385-4392 (2026) - [j8]Qingxi Meng, Emiliano Flores, Carlos Quintero-Peña, Peizhu Qian, Zachary Kingston, Shannan K. Hamlin, Vaibhav V. Unhelkar, Lydia E. Kavraki:
Look as You Leap: Planning Simultaneous Motion and Perception for High-DoF Robots. IEEE Trans. Robotics 42: 3666-3685 (2026) - [c29]Chih H. Huang, Pranav Jadhav, Brian Plancher, Zachary Kingston:
pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning. ICRA 2026: 5892-5899 - [c28]Lucas Chen, Shrutheesh Raman Iyer, Zachary Kingston:
Differentiable Particle Optimization for Fast Sequential Manipulation. ICRA 2026: 6446-6453 - [c27]Mitchell E. C. Sabbadini, Andrew H. Liu, Joseph Ruan, Tyler S. Wilson, Zachary Kingston, Jonathan D. Gammell:
Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners. ICRA 2026: 9369-9376 - [c26]Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev:
Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models. ICRA 2026: 14441-14448 - [c25]José J. Patiño, Zachary Kingston, Victor Romero-Cano, Yu-Kun Lai, Juan David Hernández:
One-Shot View Planning and Online Optimization-based Replanning for Unknown Object Reconstruction. ICRA 2026: 21491-21498 - [i47]Pengyuan Guo, Zhonghao Mai, Zhengtong Xu, Kaidi Zhang, Heng Zhang, Zichen Miao, Arash Ajoudani, Zachary Kingston, Qiang Qiu, Yu She:
AgenticLab: A Real-World Robot Agent Platform that Can See, Think, and Act. CoRR abs/2602.01662 (2026) - [i46]Thai Duong, Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki:
Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness. CoRR abs/2603.16059 (2026) - [i45]Shrutheesh R. Iyer, I-Chia Chang, Andrew Z. Liu, Yan Gu, Zachary Kingston:
Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control. CoRR abs/2604.13323 (2026) - [i44]Weihang Guo, Theodoros Tyrovouzis, Emiliano Flores, Clayton W. Ramsey, Zachary K. Kingston, Ioan Alexandru Sucan, Mark Moll, Lydia E. Kavraki:
The Open Motion Planning Library 2.0. CoRR abs/2605.29301 (2026) - [i43]Yuanchu Liang, Edward Kim, J. Arden Knoll, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Hanna Kurniawati:
Think Fast and Far: Long-Horizon Online POMDP Planning via Rapid State Sampling. CoRR abs/2606.04355 (2026) - [i42]Qingyi Chen, Zachary Kingston, Ahmed H. Qureshi:
NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning. CoRR abs/2607.00326 (2026) - [i41]Yitian Gao, Andrew Lu, Zachary Kingston:
Fast Asymptotically Optimal Kinodynamic Planning via Vectorization. CoRR abs/2607.03987 (2026) - [i40]Servet B. Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint:
PEEL: Parallel Extraction for Long-Horizon Disassembly Planning via Scale-Invariant Sampling. CoRR abs/2608.08773 (2026) - [i39]Sai Coumar, An T. Le, Zachary Kingston:
Anytime Global Tensor Motion Planning. CoRR abs/2608.25830 (2026) - [i38]Syed Talha Bukhari, Yi Wei, Ruiqi Ni, Zachary Kingston, Aniket Bera:
Fast Generative Grasping via Lie Group-Constrained MeanFlow. CoRR abs/2608.26076 (2026) - [i37]Kaivalya Agrawal, Md Ashiqur Rahman, Raymond A. Yeh, Zachary Kingston:
SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation. CoRR abs/2609.20648 (2026) - [i36]Qingyi Chen, Kevin Zhang, Lucas Chen, Zachary Kingston:
Stochastic Neural Signed Swept Volume for Real-time Chance-Constrained Trajectory Optimization. CoRR abs/2609.21211 (2026) - [i35]Qingyi Chen, Joseph Ruan, Zachary Kingston:
Safe Real-Time Policy Steering via Noise-Space Trajectory Optimization for One-Step Generative Policies. CoRR abs/2609.21220 (2026) - [i34]Lucas Chen, Austin Garrett, Andrew Niu, Zachary Kingston:
Becoming a Fruit Ninja: Real-Time Probabilistic Kinodynamic Planning for Manipulator Projectile Interception. CoRR abs/2609.22608 (2026) - [i33]Syed Talha Bukhari, Austin Garrett, Yi Wei, Ruiqi Ni, Zachary Kingston, Aniket Bera:
Faster Visuomotor Policy Learning on Action Manifolds via Riemannian MeanFlow. CoRR abs/2609.30127 (2026) - [i32]Shrutheesh Raman Iyer, Thomas Cohn, Zachary Kingston:
ReVAMP: Vector-Accelerated Motion Planning for Kinematically-Constrained Systems via Reparameterization. CoRR abs/2609.30213 (2026) - [i31]Chih H. Huang, Roy Xing, Brian Plancher, Zachary Kingston:
MR. POP: Multi-Robot Parallel Optimizing Planner for Almost-Surely Asymptotically Optimal Planning. CoRR abs/2609.30644 (2026) - 2025
- [j7]Tyler S. Wilson, Wil Thomason, Zachary Kingston, Jonathan D. Gammell:
AORRTC: Almost-Surely Asymptotically Optimal Planning With RRT-Connect. IEEE Robotics Autom. Lett. 10(12): 13375-13382 (2025) - [c24]Akshaya Agrawal, Parker Mayer, Zachary Kingston, Geoffrey A. Hollinger:
Constrained Nonlinear Kaczmarz Projection on Intersections of Manifolds for Coordinated Multi-Robot Mobile Manipulation. ICRA 2025: 7726-7732 - [c23]Weihang Guo, Zachary Kingston, Lydia E. Kavraki:
CaStL: Constraints as Specifications Through Llm Translation for Long-Horizon Task and Motion Planning. ICRA 2025: 11957-11964 - [c22]Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Jonathan D. Gammell:
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*). ICRA 2025: 14140-14146 - [c21]Lucas Chen, Yitian Gao, Sicheng Wang, Francesco Fuentes, Laura H. Blumenschein, Zachary Kingston:
Physics-Grounded Differentiable Simulation for Soft Growing Robots. RoboSoft 2025: 1-8 - [i30]Lucas Chen, Yitian Gao, Sicheng Wang, Francesco Fuentes, Laura H. Blumenschein, Zachary Kingston:
Physics-Grounded Differentiable Simulation for Soft Growing Robots. CoRR abs/2501.17963 (2025) - [i29]Chih H. Huang, Pranav Jadhav, Brian Plancher, Zachary Kingston:
pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning. CoRR abs/2503.06757 (2025) - [i28]Sai Coumar, Gilbert Chang, Nihar Kodkani, Zachary Kingston:
Foam: A Tool for Spherical Approximation of Robot Geometry. CoRR abs/2503.13704 (2025) - [i27]Sai Coumar, Zachary Kingston:
Evaluating Machine Learning Approaches for ASCII Art Generation. CoRR abs/2503.14375 (2025) - [i26]Tyler S. Wilson, Wil Thomason, Zachary Kingston, Jonathan D. Gammell:
AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect. CoRR abs/2505.10542 (2025) - [i25]Akshaya Agrawal, Evan Palmer, Zachary Kingston, Geoffrey A. Hollinger:
Underwater Multi-Robot Simulation and Motion Planning in Angler. CoRR abs/2506.06612 (2025) - [i24]Francesco Fuentes, Serigne Diagne, Zachary Kingston, Laura H. Blumenschein:
Exteroception through Proprioception Sensing through Improved Contact Modeling for Soft Growing Robots. CoRR abs/2507.10694 (2025) - [i23]Syed Talha Bukhari, Kaivalya Agrawal, Zachary Kingston, Aniket Bera:
Variational Shape Inference for Grasp Diffusion on SE(3). CoRR abs/2508.17482 (2025) - [i22]Yitian Gao, Lucas Chen, Priyanka Bhovad, Sicheng Wang, Zachary Kingston, Laura H. Blumenschein:
Parallel Simulation of Contact and Actuation for Soft Growing Robots. CoRR abs/2509.15180 (2025) - [i21]Qingxi Meng, Emiliano Flores, Carlos Quintero-Peña, Peizhu Qian, Zachary Kingston, Shannan K. Hamlin, Vaibhav V. Unhelkar, Lydia E. Kavraki:
Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots. CoRR abs/2509.19610 (2025) - [i20]Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev:
Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models. CoRR abs/2509.25402 (2025) - [i19]Cael Yasutake, Zachary Kingston, Brian Plancher:
HJCD-IK: GPU-Accelerated Inverse Kinematics through Batched Hybrid Jacobian Coordinate Descent. CoRR abs/2510.07514 (2025) - [i18]Lucas Chen, Shrutheesh Raman Iyer, Zachary Kingston:
Differentiable Particle Optimization for Fast Sequential Manipulation. CoRR abs/2510.07674 (2025) - [i17]Le Mao, Andrew H. Liu, Renos Zabounidis, Zachary Kingston, Joseph Campbell:
CDE: Concept-Driven Exploration for Reinforcement Learning. CoRR abs/2510.08851 (2025) - [i16]Mitchell E. C. Sabbadini, Andrew H. Liu, Joseph Ruan, Tyler S. Wilson, Zachary Kingston, Jonathan D. Gammell:
Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners. CoRR abs/2510.21074 (2025) - [i15]Muyang Yan, Miras Mengdibayev, Ardon Floros, Weihang Guo, Lydia E. Kavraki, Zachary Kingston:
Using VLM Reasoning to Constrain Task and Motion Planning. CoRR abs/2510.25548 (2025) - 2024
- [c20]Carlos Quintero-Peña, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, Lydia E. Kavraki:
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. ICRA 2024: 2360-2367 - [c19]Wil Thomason, Zachary Kingston, Lydia E. Kavraki:
Motions in Microseconds via Vectorized Sampling-Based Planning. ICRA 2024: 8749-8756 - [c18]Khen Elimelech, Zachary 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 - [c17]Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki:
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Motion Planning with Pointclouds. Robotics: Science and Systems 2024 - [i14]Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki:
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking. CoRR abs/2406.02807 (2024) - [i13]Akshaya Agrawal, Parker Mayer, Zachary Kingston, Geoffrey A. Hollinger:
Constrained Nonlinear Kaczmarz Projection on Intersections of Manifolds for Coordinated Multi-Robot Mobile Manipulation. CoRR abs/2410.21630 (2024) - [i12]Weihang Guo, Zachary Kingston, Lydia E. Kavraki:
CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning. CoRR abs/2410.22225 (2024) - [i11]Yuanchu Liang, Edward Kim, Wil Thomason, Zachary Kingston, Hanna Kurniawati, Lydia E. Kavraki:
Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling. CoRR abs/2411.07032 (2024) - [i10]Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Jonathan D. Gammell:
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*). CoRR abs/2411.17902 (2024) - [i9]Weihang Guo, Zachary Kingston, Kaiyu Hang, Lydia E. Kavraki:
Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation. CoRR abs/2412.00366 (2024) - 2023
- [j6]Servet B. Bayraktar, Andreas Orthey, Zachary 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 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 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 Kingston, Lydia E. Kavraki:
Object Reconfiguration with Simulation-Derived Feasible Actions. ICRA 2023: 8104-8111 - [c14]Rahul Shome, Zachary Kingston, Lydia E. Kavraki:
Robots as AI Double Agents: Privacy in Motion Planning. IROS 2023: 2861-2868 - [i8]Yiyuan Lee, Wil Thomason, Zachary Kingston, Lydia E. Kavraki:
Object Reconfiguration with Simulation-Derived Feasible Actions. CoRR abs/2302.14161 (2023) - [i7]Rahul Shome, Zachary Kingston, Lydia E. Kavraki:
Robots as AI Double Agents: Privacy in Motion Planning. CoRR abs/2308.03385 (2023) - [i6]Wil Thomason, Zachary Kingston, Lydia E. Kavraki:
Motions in Microseconds via Vectorized Sampling-Based Planning. CoRR abs/2309.14545 (2023) - [i5]Carlos Quintero-Peña, Wil Thomason, Zachary 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 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 Kingston, Lydia E. Kavraki:
Robowflex: Robot Motion Planning with MoveIt Made Easy. IROS 2022: 3108-3114 - [i4]S. Bora Bayraktar, Andreas Orthey, Zachary 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 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 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 Kingston, Lydia E. Kavraki:
HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization. IROS 2021: 2511-2518 - [c9]Zachary Kingston, Constantinos Chamzas, Lydia E. Kavraki:
Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems. IROS 2021: 6922-6927 - [i3]Zachary Kingston, Lydia E. Kavraki:
Robowflex: Robot Motion Planning with MoveIt Made Easy. CoRR abs/2103.12826 (2021) - [i2]Constantinos Chamzas, Carlos Quintero-Peña, Zachary 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 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 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 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 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 Kingston, Mark Moll, Julia Badger, Lydia E. Kavraki:
Robonaut 2 and you: Specifying and executing complex operations. ARSO 2017: 1-8 - [c6]Zachary Kingston, Mark Moll, Lydia E. Kavraki:
Decoupling Constraints from Sampling-Based Planners. ISRR 2017: 913-928 - 2016
- [c5]Golnaz Habibi, Sándor P. Fekete, Zachary 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 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 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-10-17 01:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
