Anssi Kemppainen
Papers
12
Total Citations
537
H-Index
6
About
Anssi Kemppainen is a robotics and autonomous systems researcher whose work has made significant contributions to indoor localization, simultaneous localization and mapping (SLAM), and multi-robot systems. He is best known for pioneering the use of ambient magnetic field anomalies as a reliable, infrastructure-free means of indoor positioning — a concept that has proven both innovative and practically impactful. His 2009 paper on global indoor self-localization using the ambient magnetic field has accumulated over 250 citations, establishing him as a leading voice in magnetic field-based navigation. Building on this foundation, Kemppainen developed sophisticated SLAM methods that combine Rao-Blackwellized particle filters with Gaussian Process regression, applying these techniques to real-world challenges such as autonomous floor-cleaning robots. His exploration of near-optimal SLAM strategies and frequency-domain Gaussian processes further demonstrates a commitment to computationally efficient, scalable solutions. Beyond localization, Kemppainen has contributed to distributed multi-robot sensing architectures and competitive robotics through involvement in the European Robotics League Emergency challenge. With a cumulative citation record exceeding 500 across his publications, his research bridges theoretical rigor and practical robotic deployment in meaningful ways.
Research Focus
Key Achievements
Top Papers
- 1Global indoor self-localization based on the ambient magnetic field251 citations · 2009
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- 3Simultaneous localization and mapping using ambient magnetic field84 citations · 2010
- 4
- 5Near-optimal SLAM exploration in Gaussian processes15 citations · 2010
- 6An Infrared Location System for Relative Pose Estimation of Robots13 citations · 2008
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- 9A MULTIROBOT SYSTEM FOR DISTRIBUTED SENSING3 citations · 2007
- 10Smart system for distributed sensing2 citations · 2008