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Constantinos Chamzas
Constantinos Chamzas
PhD Student in Computer Science, Rice University
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
Using Local Experiences for Global Motion Planning
C Chamzas, A Shrivastava, LE Kavraki
2019 International Conference on Robotics and Automation (ICRA), 8606-8612, 2019
342019
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets
C Chamzas, C Quintero-Pena, Z Kingston, A Orthey, D Rakita, M Gleicher, ...
IEEE Robotics Automation and Letters (RAL) 7 (2), 882-889, 2021
172021
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
2021 International Conference on Robotics and Automation (ICRA), 2020
172020
Path Planning for Manipulation using Experience-driven Random Trees
È Pairet, C Chamzas, Y Petillot, LE Kavraki
IEEE Robotics and Automation Letters (RAL) 6 (2), 3295-3302, 2021
102021
HyperPlan: A framework for motion planning algorithm selection and parameter optimization
M Moll, C Chamzas, Z Kingston, LE Kavraki
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
82021
Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems
Z Kingston, C Chamzas, LE Kavraki
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope
D Chamzas, C Chamzas, K Moustakas
16th International Joint Conference on Computer Vision, Imaging and Computer …, 2020
52020
Comparing reconstruction-and contrastive-based models for visual task planning
C Chamzas, M Lippi, MC Welle, A Varava, LE Kavraki, D Kragic
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
32022
Adaptive Experience Sampling for Motion Planning using the Generator-Critic Framework
Y Lee, C Chamzas, LE Kavraki
IEEE Robotics Automation and Letters (RAL), 2022
22022
Learning to Retrieve Relevant Experiences for Motion Planning
C Chamzas, A Cullen, A Shrivastava, LE Kavraki
2022 International Conference on Robotics and Automation (ICRA), 2022
22022
Motion Planning via Bayesian Learning in the Dark
C Quintero-Pena, C Chamzas, V Unhelkar, LE Kavraki
ICRA2021: Machine Learning for Motion Planning Workshop (MLMP), 2021
22021
State Representations in Robotics: Identifying Relevant Factors of Variation using Weak Supervision
C Chamzas, M Lippi, MC Welle, A Varava, A Marino, LE Kavraki, D Kragic
NeurIPS 3rd Robot Learning Workshop: Grounding Machine Learning Development …, 2020
22020
Human-Guided Motion Planning in Partially Observable Environments
C Quintero-Pena, C Chamzas, Z Sun, V Unhelkar, LE Kavraki
2022 International Conference on Robotics and Automation (ICRA), 2022
12022
Human Health and Equity in an Age of Robotics and Intelligent Machines
C Chamzas, F Eweje, LE Kavraki, EL Chaikof
NAM Perspectives, 2022
2022
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