Zachary Kingston

According to our database, Zachary Kingston authored at least 40 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Exteroception through Proprioception Sensing through Improved Contact Modeling for Soft Growing Robots.

Francesco Fuentes, Serigne Diagne, Zachary Kingston, Laura H. Blumenschein

CoRR, July, 2025

Underwater Multi-Robot Simulation and Motion Planning in Angler.

Akshaya Agrawal, Evan Palmer, Zachary Kingston, Geoffrey A. Hollinger

CoRR, June, 2025

AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect.

Tyler S. Wilson, Wil Thomason, Zachary Kingston, Jonathan D. Gammell

CoRR, May, 2025

Evaluating Machine Learning Approaches for ASCII Art Generation.

Sai Coumar, Zachary Kingston

CoRR, March, 2025

Foam: A Tool for Spherical Approximation of Robot Geometry.

Sai Coumar, Gilbert Chang, Nihar Kodkani, Zachary Kingston

CoRR, March, 2025

pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning.

Chih H. Huang, Pranav Jadhav, Brian Plancher, Zachary Kingston

CoRR, March, 2025

Physics-Grounded Differentiable Simulation for Soft Growing Robots.

Lucas Chen, Yitian Gao, Sicheng Wang, Francesco Fuentes, Laura H. Blumenschein, Zachary Kingston

Proceedings of the 8th IEEE International Conference on Soft Robotics, 2025

2024

Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation.

Weihang Guo, Zachary Kingston, Kaiyu Hang, Lydia E. Kavraki

CoRR, 2024

Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*).

Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Jonathan D. Gammell

CoRR, 2024

Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling.

Yuanchu Liang, Edward Kim, Wil Thomason, Zachary Kingston, Hanna Kurniawati, Lydia E. Kavraki

CoRR, 2024

CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning.

Weihang Guo, Zachary Kingston, Lydia E. Kavraki

CoRR, 2024

Constrained Nonlinear Kaczmarz Projection on Intersections of Manifolds for Coordinated Multi-Robot Mobile Manipulation.

Akshaya Agrawal, Parker Mayer, Zachary Kingston, Geoffrey A. Hollinger

CoRR, 2024

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking.

Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki

CoRR, 2024

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Motion Planning with Pointclouds.

Clayton W. Ramsey, Zachary Kingston, Wil Thomason, Lydia E. Kavraki

Proceedings of the Robotics: Science and Systems XX, 2024

Motions in Microseconds via Vectorized Sampling-Based Planning.

Wil Thomason, Zachary Kingston, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty.

Carlos Quintero-Peña, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Accelerating Long-Horizon Planning with Affordance-Directed Dynamic Grounding of Abstract Strategies.

Khen Elimelech, Zachary Kingston, Wil Thomason, Moshe Y. Vardi, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Scaling Multimodal Planning: Using Experience and Informing Discrete Search.

Zachary Kingston, Lydia E. Kavraki

IEEE Trans. Robotics, February, 2023

Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces.

Servet B. Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint, Lydia E. Kavraki

IEEE Robotics Autom. Lett., 2023

Robots as AI Double Agents: Privacy in Motion Planning.

Rahul Shome, Zachary Kingston, Lydia E. Kavraki

IROS, 2023

Optimal Grasps and Placements for Task and Motion Planning in Clutter.

Carlos Quintero-Peña, Zachary Kingston, Tianyang Pan, Rahul Shome, Anastasios Kyrillidis, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Object Reconfiguration with Simulation-Derived Feasible Actions.

Yiyuan Lee, Wil Thomason, Zachary Kingston, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets.

Constantinos Chamzas, Carlos Quintero-Peña, Zachary Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki

IEEE Robotics Autom. Lett., 2022

Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces.

S. Bora Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint, Lydia E. Kavraki

CoRR, 2022

Robowflex: Robot Motion Planning with MoveIt Made Easy.

Zachary Kingston, Lydia E. Kavraki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization.

Mark Moll, Constantinos Chamzas, Zachary Kingston, Lydia E. Kavraki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems.

Zachary Kingston, Constantinos Chamzas, Lydia E. Kavraki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Finite-Horizon Synthesis for Probabilistic Manipulation Domains.

Andrew M. Wells, Zachary Kingston, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions.

Constantinos Chamzas, Zachary Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Informing Multi-Modal Planning with Synergistic Discrete Leads.

Zachary Kingston, Andrew M. Wells, Mark Moll, Lydia E. Kavraki

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Exploring implicit spaces for constrained sampling-based planning.

Zachary Kingston, Mark Moll, Lydia E. Kavraki

Int. J. Robotics Res., 2019

2018

An incremental constraint-based framework for task and motion planning.

Neil T. Dantam, Zachary K. Kingston, Swarat Chaudhuri, Lydia E. Kavraki

Int. J. Robotics Res., 2018

Sampling-Based Methods for Motion Planning with Constraints.

Zachary Kingston, Mark Moll, Lydia E. Kavraki

Annu. Rev. Control. Robotics Auton. Syst., 2018

2017

Decoupling Constraints from Sampling-Based Planners.

Zachary Kingston, Mark Moll, Lydia E. Kavraki

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Robonaut 2 and you: Specifying and executing complex operations.

William Baker, Zachary Kingston, Mark Moll, Julia Badger, Lydia E. Kavraki

Proceedings of the 2017 IEEE Workshop on Advanced Robotics and its Social Impacts, 2017

2016

Incremental Task and Motion Planning: A Constraint-Based Approach.

Neil T. Dantam, Zachary K. Kingston, Swarat Chaudhuri, Lydia E. Kavraki

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Distributed Object Characterization with Local Sensing by a Multi-robot System.

Golnaz Habibi, Sándor P. Fekete, Zachary Kingston, James McLurkin

Proceedings of the Distributed Autonomous Robotic Systems, 2016

2015

Distributed centroid estimation and motion controllers for collective transport by multi-robot systems.

Golnaz Habibi, Zachary Kingston, William Xie, Mathew Jellins, James McLurkin

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Kinematically constrained workspace control via linear optimization.

Zachary K. Kingston, Neil T. Dantam, Lydia E. Kavraki

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Pipelined Consensus for Global State Estimation in Multi-Agent Systems.

Golnaz Habibi, Zachary Kingston, Zijian Wang, Mac Schwager, James McLurkin

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015