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Sibley, Gabe Asst Professor Adjunct

Positions

Research Areas research areas

Research

research overview

  • Gabe's core interest is in probabilistic perception algorithms and estimation theory that enable long-term autonomous operation of mobile robotic systems, particularly in unknown environments. He has extensive experience with vision based, real-time localization and mapping systems, and is interested in fundamental understanding of sufficient statistics that can be used to represent the state of the world. His research uses real-time, embodied robot systems equipped with a variety of sensors -- including lasers, cameras, inertial sensors, etc. -- to advance and validate algorithms and knowledge representations that are useful for enabling long-term autonomous operation.

keywords

  • Mobile robotics, computer vision, estimation theory, field robotics

Publications

selected publications

Background

International Activities