Andreas Rune Fugl
Maersk (Denmark), University of Southern Denmark, Odense Municipality
Papers
10
Total Citations
134
H-Index
5
About
Andreas Rune Fugl is a robotics researcher whose work spans robot perception, manipulation of deformable objects, and anomaly detection in collaborative robotic systems. His research bridges the gap between theoretical robotics and real-world industrial applicability, with a focus on making robots more adaptable and reliable in complex environments. Fugl's most influential contribution, "An Adaptable Robot Vision System Performing Manipulation Actions With Flexible Objects" (2014, 70 citations), demonstrated how robotic systems can dynamically respond to the unpredictable shape changes of flexible objects during manipulation tasks — a significant challenge for traditional path-planning approaches. This work established him as a notable voice in deformable object manipulation. His earlier research, including simultaneous estimation of material properties and pose from depth and color images (2012, 20 citations), laid important groundwork in robot perception and physical object modeling. In more recent years, Fugl has turned his attention to anomaly and fault detection in collaborative robots, conducting rigorous experimental comparisons of detection methods across real-world scenarios — work that has collectively accumulated over 30 citations across multiple publication venues and accompanying open datasets. His commitment to reproducible, benchmark-driven research makes his contributions particularly valuable to practitioners and students navigating the rapidly evolving field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 9Simulation of Flexible Objects in Robotics2 citations · 2012
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