Markus Ganglbauer
Papers
5
Total Citations
50
H-Index
3
About
Markus Ganglbauer is a leading researcher at the intersection of human-robot interaction (HRI) and collaborative manufacturing, with a core focus on making industrial robotics more intuitive, safe, and human-centric. His work spans three key areas: social robotics for motivation, safe human-robot collaboration (HRC), and programming by demonstration (PbD). In a notable 2022 study (24 citations), Ganglbauer demonstrated how social robots can serve as coaches to positively impact motivation in sports training, highlighting their potential for mental well-being. He has also advanced safety in HRC by developing a human-in-the-loop system that estimates robotic speed limits in real time (14 citations), enabling closer and safer collaboration. His contributions to PbD include instrumented tool-based robot programming for parameterizing complex tasks like screwing processes (7 citations), and knowledge-based accuracy improvement for point-based processes (3 citations). Most recently, he has explored intuitive interfaces for handling novel PCBs in industrial settings (2024). Ganglbauer’s work bridges the gap between flexibility and productivity, offering practical solutions for small and medium-sized enterprises (SMEs) seeking to adopt collaborative automation.
Research Focus
Key Achievements
Top Papers
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