Felix von Drigalski
Omron (Japan), Ritsumeikan University, Nara Institute of Science and Technology
Papers
25
Total Citations
307
H-Index
11
About
Felix von Drigalski is a robotics researcher whose work sits at the intersection of robotic assembly, soft robotics, and intelligent manipulation. His research addresses some of the most persistent challenges in industrial automation, particularly the precise handling and placement of objects in complex assembly scenarios. Among his most influential contributions is his work on in-hand pose estimation, where he has pioneered both contact-based Bayesian approaches and multi-modal sensor fusion methods to achieve high precision without relying on expensive hardware — his papers on these topics have collectively garnered nearly 60 citations. His development of a compact, cable-driven soft wrist with six degrees of freedom represents a significant hardware innovation, enabling robots to perform delicate assembly tasks with greater compliance and robustness. Von Drigalski has also advanced reinforcement learning strategies for soft robotic assembly, including learning from failed demonstrations and transfer learning across dynamic environments. Beyond manipulation, he has extended his expertise to laboratory automation — notably robotic powder grinding — and even food fracture anticipation. His contributions to the World Robot Summit 2018 Assembly Challenge and collaborative software development frameworks further highlight his commitment to bridging research and real-world deployment in robotic systems.
Research Focus
Key Achievements
Top Papers
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