Papers
8
Total Citations
305
H-Index
7
About
Martin Frassl is a pioneering researcher at the intersection of robotics, sensor-based localization, and human-robot interaction. His most influential work centers on exploiting the Earth’s naturally perturbed indoor magnetic field as a robust, infrastructure-free localization signal. In his landmark 2012 paper (127 citations), Frassl developed a methodology to densely sample the magnetic vector field both on the ground and in free space, fundamentally advancing our understanding of indoor magnetic properties. He further demonstrated that these magnetic maps, combined with inertial or wheel odometry, enable precise localization for both legged and wheeled platforms (107 citations). Beyond localization, Frassl has made notable contributions to multi-robot systems, designing intuitive interfaces like “Pose and Paste” for single-user control of robotic fleets and developing efficient multi-agent exploration algorithms using Gaussian Processes. His work has real-world impact: he led the aerial robotic assessment mission following the 2011 Cyprus ammunition explosion, deploying micro aerial vehicles to survey a devastated power plant. With over 300 total citations, Frassl’s research bridges theoretical sensor science with practical disaster response, offering students a compelling model of how fundamental physics can power life-saving robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Efficient Multi-Agent Exploration with Gaussian Processes8 citations · 2014
- 7
- 8