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I am on the 2021/2022 academic job market.

Chris Mavrogiannis I am a Postdoc in Computer Science & Engineering at the University of Washington where I work with Prof. Siddhartha Srinivasa in the Personal Robotics Lab.

I received my Ph.D. from Cornell University, working with Prof. Ross A. Knepper, and a Diploma from the National Technical University of Athens, working with Prof. Kostas J. Kyriakopoulos.

My interests lie at the intersection of robotics, human-robot interaction, and artificial intelligence. My goal is to enhance human quality of life through the safe and efficient deployment of robotic autonomy in real-world environments while accounting for the comfort of human users. I tend to do so by integrating models of human behavior into the design of planning, prediction, and control algorithms. To this end, I often draw tools from machine learning, algebraic topology, and user research. Some applications of interest include robot navigation in crowds, multirobot navigation, and robotic manipulation.

Here is my CV.


11/23/2021: Paper accepted to HRI!
09/30/2021: Article accepted to T-HRI! [preprint].
09/15/2021: New preprint on analyzing traffic scenes via braids [arXiv].
09/13/2021: 2 papers accepted to CoRL 2021!
09/13/2021: New preprint on MPC for navigation on a ballbot [arXiv]
09/01/2021: IJRR article published!
08/24/2021: Invited talks at kod*lab and Cornell Robotics Seminar.
07/27/2021: New preprint on planning with group-based prediction. [arXiv]
06/24/2021: New RSS paper on planning with models of human help.
07/15/2021: Organizing RSS workshop on geometric/topological methods.
07/13/2021: Organizing RSS workshop on social robot navigation.
06/04/2021: Organizing ICRA Workshop on curiosity-driven approaches.
05/07/2021: Invited talk at Talking Robotics. [Video]
04/22/2021: Invited talk at the Intelligent Systems Lab, TU Berlin. [Video]
03/23/2021: Invited talk at the AAAI Spring Symposium Series. [Video]
03/10/2021: Preprint of our social navigation survey article available. [PDF]
10/14/2020: Trajectory prediction paper accepted to CoRL 2020. [PDF]
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