Andreas Schilling

University of Tübingen, University of Zurich

Papers

Total Citations

185

H-Index

About

Andreas Schilling is a researcher whose work sits at the intersection of mobile robotics, 3D environmental modeling, and wireless sensor network localization. His most influential contribution, a 2005 paper garnering 124 citations, introduced an elegant method for constructing realistic 3D models of indoor office environments using a mobile robot equipped with both a laser range scanner and a panoramic camera. By leveraging 2D laser scan data to solve the Simultaneous Localization and Mapping (SLAM) problem and extract structural features such as walls, his approach demonstrated how robotic platforms could autonomously build visually convincing spatial representations — a foundational challenge in autonomous navigation and indoor mapping. Schilling has also made meaningful strides in wireless node localization within sensor networks. His 2009 work, cited 58 times, proposed a novel technique using a rotating antenna mounted on a mobile robot to determine radio node positions via received signal strength indicators (RSSI), anchored by real-time kinematic GPS. Building on this, his 2010 research explored simultaneous localization of both the robot and static wireless nodes using angle-of-arrival estimation. Together, these contributions form a cohesive body of work advancing how robots perceive, map, and interact with their environments — offering practical solutions for location-based services and service robotics applications.