My research focuses on enabling robot collaboration and exploration through the use of computer vision and machine learning. My recent work explores semantic mapping, CNN-based 3D pose estimation, robot to robot visual communication and more.

In my projects, I like to emphasize deploying code on real robots. During my MSc., that was namely on Aqua, a highly manoeuvrable family of amphibious hexapod robots. I have attended field trials in the west coast of Barbados and across Canada as part of the Mobile Robotics Lab and the NSERC Canadian Field Robotics Network.

Refereed Conference Papers

[TBA] K. Koreitem, F. Shkurti, T. Manderson, W.D. Chang, J.C.G. Higuera, and G. Dudek, “One-Shot Informed Robotic Visual Search in the Wild”, under single-blind review.

[ICRA’20] J. Li, K. Koreitem, D. Meger, and G. Dudek, “View-Invariant Loop Closure with Oriented Semantic Landmarks”, Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA ‘20) - Paris, France (May 2020).

[ICRA’19] K. Koreitem, J. Li, I. Karp, T. Manderson, and G. Dudek, “Underwater Communication Using Full-Body Gestures and Optimal Variable-Length Prefix Codes”, Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA ‘19) - Montreal, QC, Canada (May 2019).

[OCEANS’18] K. Koreitem, J. Li, I. Karp, T. Manderson, F. Shkurti and G. Dudek, “Synthetically Trained 3D Visual Tracker of Underwater Vehicles”, MTS/IEEE OCEANS Conference 2018 - Charleston, SC, USA (2018).

[CRV’16] K. Koreitem, Y. Girdhar, W. Cho, H. Singh, J. Pineda and G. Dudek, “Subsea Fauna Enumeration Using Vision-Based Marine Robots”, 2016 13th Conference on Computer and Robot Vision (CRV), Victoria, BC, 2016