/Michael Kaess

Michael Kaess

Portrait of Michael Kaess
Associate Research Professor
Office: 1617 Newell-Simon Hall
Phone: (412) 268-6905
Personal Homepage
Administrative Assistant: Nora Kazour
Associated Center: FRC
Lab: Robot Perception Lab

Mailing Address

Perception is a fundamental challenge for mobile robots navigating through and interacting with their environment. My research focuses on 3D mapping and localization using information from any available sensor, including vision, laser, inertial, GPS and sonar (underwater). To enable online operation, my research also explores novel algorithms for efficient and robust inference at the intersection of linear algebra and probabilistic graphical models.

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