publications

* denotes equal contribution.

Journal Articles

  1. RAL
    Adaptive Experience Sampling for Motion Planning using the Generator-Critic Framework
    Y. Lee, C. Chamzas, and L. E. Kavraki
    IEEE Robotics and Automation Letters, 2022
  2. RAL
    MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets
    C. Chamzas, C. Quintero-Peña, Z. Kingston, A. Orthey, D. Rakita, M. Gleicher, M. Toussaint, and L. E. Kavraki
    IEEE Robotics and Automation Letters, 2022
  3. NAM
    Human Health and Equity in an Age of Robotics and Intelligent Machines
    C. Chamzas*, F. Eweje*, L. Kavraki, and E. Chaikof
    National Academy of Medicine Perspectives, 2022
  4. RAL
    Path Planning for Manipulation Using Experience-Driven Random Trees
    È. Pairet, C. Chamzas, Y. Petillot, and L. E. Kavraki
    IEEE Robotics and Automation Letters, 2021

Conference Papers

  1. Comparing Reconstruction-and Contrastive-based Models for Visual Task Planning
    C. Chamzas*, M. Lippi*, M. C. Welle*, A. Varava, L. E. Kavraki, and D. Kragic
    In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
  2. Learning to Retrieve Relevant Experiences for Motion Planning
    C. Chamzas, A. Cullen, A. Shrivastava, and L. E. Kavraki
    In IEEE International Conference on Robotics and Automation, 2022
  3. Human-Guided Motion Planning in Partially Observable Environments
    C. Quintero-Peña*, C. Chamzas*, Z. Sun, V. Unhelkar, and L. E. Kavraki
    In IEEE International Conference on Robotics and Automation, 2022
  4. Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems
    Z. Kingston, C. Chamzas, and L. E. Kavraki
    In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
  5. HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization
    M. Moll, C. Chamzas, Z. Kingston, and L. E. Kavraki
    In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
  6. Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
    C. Chamzas, Z. Kingston, C. Quintero-Peña, A. Shrivastava, and L. E. Kavraki
    In IEEE International Conference on Robotics and Automation, 2021
    (Top-4 finalist for best paper in Cognitive Robotics)
  7. cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope
    D. Chamzas, C. Chamzas, and K. Moustakas
    In 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021
  8. Using Local Experiences for Global Motion Planning
    C. Chamzas, A. Shrivastava, and L. E. Kavraki
    In IEEE International Conference on Robotics and Automation, 2019

Workshop Papers

  1. Motion Planning via Bayesian Learning in the Dark
    C. Quintero-Peña*, C. Chamzas*, V. Unhelkar, and L. E. Kavraki
    In ICRA 2021: Workshop on Machine Learning for Motion Planning, 2021
    (Spotlight)
  2. State Representations in Robotics: Identifying Relevant Factors of Variation using Weak Supervision
    C. Chamzas*, M. Lippi*, M. C. Welle*, A. Varava, M. Alessandro, L. E. Kavraki, and D. Kragic
    In NeurIPS, 3rd Robot Learning Workshop: Grounding Machine Learning Development in the Real World, 2020