Michael Schmidpeter

Georg Simon Ohm University of Applied Sciences Nuremberg

Papers

Total Citations

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About

Michael Schmidpeter is a robotics researcher whose work centers on multi-robot coordination, simultaneous localization and mapping (SLAM), and autonomous exploration. His most significant contribution lies in developing a 2D SLAM approach for multiple mobile robots using Signed Distance Functions (SDFs), a dynamic representation that fuses data from 2D LIDAR sensors. This method, detailed in his 2015 and 2016 publications (garnering 11 and 26 citations respectively), introduced a multi-threaded software architecture for robust registration, enabling teams of robots to collaboratively build and maintain maps in real time—a critical capability for search-and-rescue or industrial inspection. Schmidpeter also advanced autonomous mission planning with his 2020 paper on a novel state machine for arbitrary robots, designed specifically for exploration and inspection tasks. This work, cited 6 times, features a graphical user interface for supervision and manual override, and was built for the open-source Ro framework, making it accessible for broader research and deployment. His contributions bridge theoretical SLAM with practical, multi-robot systems, offering scalable solutions for real-world autonomous operations.