Constantinos Chamzas

DH3055 Duncan Hall

6100 Main Street

Houston, TX, 77030

I am a Ph.D. candidate in Computer Science at Rice University, working under the supervision of Dr. Lydia Kavraki and Dr. Anshumali Shrivastava. I am honored to have received an NSF-GRFP fellowship for my doctoral studies.

I received my Diploma from Aristotle University of Thessaloniki as an Electrical and Computer Engineer in 2017. My research interests lie in algorithmic robotics, focusing on integrating learning-based methods with classic robotic planning algorithms.

More details can be found in my curriculum vitae.

news

Sep 17, 2022 I was named a Future Faculty Fellow by the George R. Brown School of Engineering at Rice University.
Jun 16, 2022 Our paper on planning in partially seen environments with human input was featured in Futurity!
May 30, 2022 Our IROS22 workshop on Motion Planning Evaluation, is open for submissions! Deadline 09/23.
Jan 24, 2022 I gave a talk (slides here) on motion planning benchmarking tools at the IEEE RAS school!
Apr 15, 2021 Our paper was nominated for best paper in Cognitive robotics in ICRA2021!

selected publications

  1. 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
  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. 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)