Zachary Kingston
Zachary Kingston
Graduate Student in Computer Science, Rice University
Verified email at - Homepage
Cited by
Cited by
Incremental Task and Motion Planning: A Constraint-Based Approach.
NT Dantam, ZK Kingston, S Chaudhuri, LE Kavraki
Robotics: Science and systems 12, 00052, 2016
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
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
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
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
Decoupling constraints from sampling-based planners
Z Kingston, M Moll, LE Kavraki
Robotics Research, 913-928, 2020
Pipelined Consensus for Global State Estimation in Multi-Agent Systems.
G Habibi, ZK Kingston, Z Wang, M Schwager, J McLurkin
AAMAS, 1315-1323, 2015
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
Informing Multi-Modal Planning with Synergistic Discrete Leads
Z Kingston, AM Wells, M Moll, LE Kavraki
Kinematically constrained workspace control via linear optimization
ZK Kingston, NT Dantam, LE Kavraki
2015 IEEE-RAS 15th international conference on humanoid robots (humanoids …, 2015
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
arXiv preprint arXiv:2010.15335, 2020
Robowflex: Robot motion planning with MoveIt made easy
Z Kingston, LE Kavraki
arXiv preprint arXiv:2103.12826, 2021
Finite-Horizon Synthesis for Probabilistic Manipulation Domains
AM Wells, Z Kingston, M Lahijanian, LE Kavraki, MY Vardi
IEEE Int. Conf. Robot. Autom, 2021
Distributed Object Characterization with Local Sensing by a Multi-robot System
G Habibi, SP Fekete, Z Kingston, J McLurkin
Distributed Autonomous Robotic Systems, 205-218, 2018
Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems
Z Kingston, C Chamzas, LE Kavraki
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