I am on the 2021/2022 academic job market.
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.
News
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]
