Gerald Pirkl

University of Passau, German Research Centre for Artificial Intelligence

Papers

Total Citations

H-Index

About

Gerald Pirkl is a leading researcher in human-robot collaboration and pervasive computing, with a focus on creating seamless interactions between humans, robots, and virtual agents. His most influential work, "Robust, low cost indoor positioning using magnetic resonant coupling" (2012, 54 citations), introduced a groundbreaking indoor positioning system that leverages magnetic resonant coupling to achieve sub-1 m² accuracy. This system is uniquely robust against environmental disturbances like moving people, making it highly practical for real-world applications. Pirkl's contributions extend to the concept of "Hybrid Teams," explored in two influential 2016 papers (28 and 14 citations). He has been instrumental in designing flexible collaborative frameworks where augmented humans, autonomous robots, and virtual agents work together in production settings. His work addresses critical challenges in human-robot interaction, including task allocation, communication, and trust. With over 96 citations across his key publications, Pirkl's research is shaping the future of collaborative robotics and intelligent environments, offering practical solutions for flexible, efficient teamwork in dynamic industrial contexts.