Jochen Schiller

Papers

Total Citations

225

H-Index

About

Jochen Schiller is a pioneering researcher in mobile robotics and autonomous systems, with a particular focus on gas source localization (GSL) using micro-drones. His major contribution lies in developing bio-inspired and particle filter-based algorithms that enable small unmanned aerial vehicles to autonomously locate gas sources in complex, unpredictable environments—a task that has traditionally been hindered by the chaotic nature of gas dispersion and the limitations of ground-based robots. His most cited work, "Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms" (2013), has garnered over 220 citations, underscoring its influence in the fields of environmental monitoring, disaster response, and industrial safety. By integrating swarm intelligence principles with probabilistic filtering, Schiller’s research has advanced the practical deployment of drones for hazardous gas detection, offering a scalable and cost-effective alternative to conventional methods. His work is widely recognized as foundational for researchers exploring autonomous olfaction and aerial robotics, and it continues to inspire innovations in sensor fusion and real-time adaptive navigation for mobile platforms.