Zachary K. Kingston

Orcid: 0000-0002-3896-5110

According to our database1, Zachary K. Kingston authored at least 25 papers between 2015 and 2023.

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Bibliography

2023
Scaling Multimodal Planning: Using Experience and Informing Discrete Search.
IEEE Trans. Robotics, February, 2023

Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces.
IEEE Robotics Autom. Lett., 2023

Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty.
CoRR, 2023

Motions in Microseconds via Vectorized Sampling-Based Planning.
CoRR, 2023

Robots as AI Double Agents: Privacy in Motion Planning.
IROS, 2023

Optimal Grasps and Placements for Task and Motion Planning in Clutter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Object Reconfiguration with Simulation-Derived Feasible Actions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets.
IEEE Robotics Autom. Lett., 2022

Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces.
CoRR, 2022

Robowflex: Robot Motion Planning with MoveIt Made Easy.
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.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Finite-Horizon Synthesis for Probabilistic Manipulation Domains.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Informing Multi-Modal Planning with Synergistic Discrete Leads.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Exploring implicit spaces for constrained sampling-based planning.
Int. J. Robotics Res., 2019

2018
An incremental constraint-based framework for task and motion planning.
Int. J. Robotics Res., 2018

Sampling-Based Methods for Motion Planning with Constraints.
Annu. Rev. Control. Robotics Auton. Syst., 2018

2017
Decoupling Constraints from Sampling-Based Planners.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Robonaut 2 and you: Specifying and executing complex operations.
Proceedings of the 2017 IEEE Workshop on Advanced Robotics and its Social Impacts, 2017

2016
Incremental Task and Motion Planning: A Constraint-Based Approach.
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.
Proceedings of the Distributed Autonomous Robotic Systems, 2016

2015
Distributed centroid estimation and motion controllers for collective transport by multi-robot systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Kinematically constrained workspace control via linear optimization.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Pipelined Consensus for Global State Estimation in Multi-Agent Systems.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015


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