Michael Riedl
Fraunhofer Italia Research, University of Bayreuth, Bruker (Austria)
Papers
15
Total Citations
162
H-Index
7
About
Michael Riedl is a researcher whose work sits at the intersection of robotics, automation, and intelligent manufacturing systems. His research spans collaborative robotics, robot programming methodologies, and the integration of digital technologies — particularly Building Information Modeling (BIM) — into real-world robotic applications. Riedl's most influential contribution, "BIM-Integrated Collaborative Robotics for Application in Building Construction and Maintenance" (2020, 76 citations), demonstrated how BIM frameworks can bridge the gap between unstructured construction environments and autonomous robotic systems, opening new frontiers for deployment in the built environment. This work directly informed subsequent research, including the development of BALTO, an autonomous mobile robot manipulator capable of precise building disinfection against COVID-19. Riedl has also made meaningful strides in simplifying robot programming through intuitive playback systems and user-centered design, lowering barriers for small and medium-sized enterprises. His exploration of collaborative robot safety — grounded in ISO/TS 15066:2016 — and the application of mixed reality to optimize robotic workspaces further reflect his commitment to practical, human-centered automation. More recently, his work on sustainable manufacturing and Industry 4.0 highlights a growing focus on environmentally responsible production systems.
Research Focus
Key Achievements
Top Papers
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- 3A Fast Robot Playback Programming System Using Video Editing Concepts12 citations · 2019
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- 7Editing and synchronizing multi-robot playback programs7 citations · 2016
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- 9User-Centered Design of an Intuitive Robot Playback Programming System4 citations · 2020
- 10HIGH-RESOLUTION GEOMETRY MEASUREMENT WITH A COLLABORATIVE ROBOT3 citations · 2019