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.
Mobile robotics, computer vision, estimation theory, field robotics
Closing Loops Without Places.
Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.