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About

Thomas Barkowsky is a leading figure in spatial cognition, a field that bridges artificial intelligence, cognitive science, and robotics. His research centers on how intelligent agents—whether human, animal, or machine—represent, reason about, and interact with physical space. Barkowsky’s most influential contribution is his pioneering work on schematic maps for robot navigation, which explores how abstract, cognitively-inspired spatial representations can guide autonomous systems more effectively than metric maps. His 2000 paper on the topic remains his most cited work, with 42 citations, and laid the groundwork for a new approach to spatial problem solving. He has also played a key role in shaping the field through his leadership in the Transregional Collaborative Research Center SFB/TR 8 Spatial Cognition, a major DFG-funded initiative that united researchers from the Universities of Bremen and Freiburg. This center, which he helped establish and summarize in a 2005 report, fostered interdisciplinary work on reasoning, action, and interaction in spatial contexts. Barkowsky’s later work, including a 2017 chapter on spatial problem solving, continues to explore how concrete and abstract spatial representations can be used for commonsense reasoning. His research has had a lasting impact on both cognitive theory and practical robotics, making him a key reference for students and researchers in spatial cognition.