Papers
39
Total Citations
1,287
H-Index
18
About
John Folkesson is a leading figure in robotics and autonomous systems, whose work has fundamentally advanced how robots perceive, map, and interact with their environments over extended periods. His research centers on long-term autonomy, simultaneous localization and mapping (SLAM), and spatial reasoning for mobile robots. Folkesson’s most influential contribution is the development of graphical SLAM, a self-correcting mapping approach that is remarkably robust to data association errors and handles non-linearities exactly—a method that has garnered 167 citations and remains foundational in the field. He also spearheaded the STRANDS Project, a landmark effort in long-term autonomy that has been cited 196 times, demonstrating how robots can operate reliably in everyday environments for months. His work on active visual object search, meta-rooms for dynamic spatial modeling, and geometric-terrain classification has pushed the boundaries of semantic mapping and scene understanding. With over 900 total citations across his top publications, Folkesson has shaped modern robotics through innovations that enable robots to learn object models autonomously, reason about unexplored spaces, and navigate complex terrains using deep reinforcement learning. His research continues to inspire new generations of roboticists tackling real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1The STRANDS Project: Long-Term Autonomy in Everyday Environments196 citations · 2017
- 2Graphical SLAM - a self-correcting map167 citations · 2004
- 3Search in the real world: Active visual object search based on spatial relations105 citations · 2011
- 4A framework for vision based bearing only 3D SLAM95 citations · 2006
- 5Geometric and visual terrain classification for autonomous mobile navigation77 citations · 2017
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- 7Autonomous Learning of Object Models on a Mobile Robot65 citations · 2016
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