Daniel Hennig

Papers

Total Citations

686

H-Index

About

Daniel Hennig is a pioneering researcher in mobile robotics, best known for his foundational work in robot localization and autonomous navigation. His key research areas include probabilistic position estimation, map learning, and high-speed navigation for indoor mobile robots. Hennig’s major contribution is the development of position probability grids, a robust technique that allows mobile robots to estimate their absolute position and orientation within existing environmental models, enabling them to re-use maps without relying on special-purpose sensors. His seminal 1996 paper, “Estimating the absolute position of a mobile robot using position probability grids,” has garnered 399 citations, underscoring its lasting impact on the field. Hennig further advanced the discipline through his work on the RHINO robot, detailed in a 1998 chapter with 211 citations, which surveys methods for map learning and high-speed autonomous navigation. His 1997 paper on fast grid-based position tracking (50 citations) and a 2002 application study (26 citations) solidify his reputation as a key figure in probabilistic robotics. Hennig’s innovations remain essential reading for students and researchers seeking to understand the core principles of autonomous robot localization and mapping.