Michael Angermann
Papers
15
Total Citations
541
H-Index
9
About
Michael Angermann is a versatile researcher whose work spans robotics, indoor localization, and multi-agent systems, with particularly influential contributions at the intersection of sensing, navigation, and distributed intelligence. His most celebrated work focuses on leveraging the indoor magnetic field as a rich, infrastructure-free resource for precise localization of both humans and robots. His 2012 characterization of indoor magnetic environments (127 citations) and subsequent development of magnetic maps for legged and non-legged locomotion (107 citations) established foundational methodologies now widely referenced in the navigation community. Equally impactful is his information-theoretic framework for coordinating distributed robotic sensor networks, where multiple robots collaboratively infer environmental states through Bayesian filtering — a body of work accumulating nearly 190 citations across two publications. His early pedestrian navigation research using shoe-mounted inertial sensors under the FootSLAM paradigm further demonstrates his commitment to practical, infrastructure-independent positioning solutions. Beyond the laboratory, Angermann has contributed to real-world emergency response, notably participating in an aerial robotic assessment mission following the 2011 Cyprus ammunition explosion. With over 500 total citations across diverse domains — autonomous navigation, multi-robot coordination, and human-robot interaction — his research consistently bridges rigorous theory with meaningful real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Distributed robotic sensor networks: An information-theoretic approach164 citations · 2012
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- 5A scalable information theoretic approach to distributed robot coordination26 citations · 2011
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