Keith M. Andress
Papers
3
Total Citations
51
H-Index
3
About
Keith M. Andress is a pioneering researcher in autonomous mobile robotics, with a career spanning over two decades focused on world representation, sensory intelligence, and hierarchical reasoning. His foundational work on the Pseiki system introduced a novel approach to evidence accumulation, where expectations are structured as a geometrical hierarchy of abstractions to guide the interpretation of 3-D scenes. This model-driven navigation paradigm, detailed in his most-cited paper (1990, 23 citations), laid early groundwork for how robots could integrate world knowledge with sensory data to operate autonomously in complex environments. Andress further advanced this vision in his 2005 paper (21 citations), proposing a taxonomy of robot intelligence based on methods for world representation—a critical contribution that clarified the role of sensory intelligence in autonomous navigation. His later review (2013, 7 citations) revisited the Pseiki system’s evidence accumulation process, cementing its influence on expectation-driven perception. With a combined citation impact exceeding 50, Andress’s work remains a touchstone for researchers exploring hierarchical reasoning and model-driven autonomy in robotics.
Research Focus
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Top Papers
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