Constantinos Chamzas

Orcid: 0000-0001-5830-5542

According to our database1, Constantinos Chamzas authored at least 22 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AURA: Asymptotically Optimal Uncertainty-Robust Replanning Algorithm for Kinodynamic Systems.
CoRR, May, 2026

Terminal Matters: Kinodynamic Planning with a Terminal Cost and Learned Uncertainty in Belief State-Cost Space.
CoRR, May, 2026

COAD: Constant-Time Planning for Continuous Goal Manipulation with Compressed Library and Online Adaptation.
CoRR, March, 2026

2025
COVER:COverage-VErified Roadmaps for Fixed-time Motion Planning in Continuous Semi-Static Environments.
CoRR, October, 2025

Learning Discrete Abstractions for Visual Rearrangement Tasks Using Vision-Guided Graph Coloring.
CoRR, September, 2025

Image-Based Roadmaps for Vision-Only Planning and Control of Robotic Manipulators.
IEEE Robotics Autom. Lett., August, 2025

ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation.
CoRR, June, 2025

Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints.
Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control, 2025

2024
Sampling-Based Motion Planning: A Comparative Review.
Annu. Rev. Control. Robotics Auton. Syst., 2024

Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation.
CoRR, 2023

2022
Adaptive Experience Sampling for Motion Planning Using the Generator-Critic Framework.
IEEE Robotics Autom. Lett., 2022

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

Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Human-Guided Motion Planning in Partially Observable Environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning to Retrieve Relevant Experiences for Motion Planning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Path Planning for Manipulation Using Experience-Driven Random Trees.
IEEE Robotics Autom. Lett., 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

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

cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2019
Using Local Experiences for Global Motion Planning.
Proceedings of the International Conference on Robotics and Automation, 2019


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