Joscha-David Fossel

University of Liverpool, Maastricht University

Papers

Total Citations

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About

Joscha-David Fossel is a roboticist whose research centers on advancing autonomous navigation and mapping, particularly through the integration of artificial intelligence into physical systems. His most significant contribution is the development of 2D-SDF-SLAM, a novel simultaneous localization and mapping (SLAM) frontend for laser scanners. This work, published in 2015 and garnering 22 citations, introduced a fast scan registration algorithm that leverages signed distance functions (SDFs) for map representation, offering substantial advantages in accuracy and efficiency for robotic perception. Beyond SLAM, Fossel explored the intersection of AI and robotics through telepresence systems. His 2013 paper on telepresence robots as a research platform for AI, though with 3 citations, highlights his vision for re-integrating artificial intelligence into embodied agents. He built the MITRO (Maastricht Intelligent Telepresence RObot), a low-cost prototype designed to serve as a testbed for AI research in human-robot interaction and remote presence. Fossel’s work bridges foundational mapping techniques with applied AI, making him a notable figure in the development of intelligent, autonomous robotic systems.