Arne Muxfeldt
Papers
6
Total Citations
63
H-Index
5
About
Arne Muxfeldt’s research lies at the intersection of human-robot interaction (HRI) and intuitive robot programming, with a particular focus on making industrial manipulators more accessible and collaborative. His work addresses a critical bottleneck in modern manufacturing: the need for efficient, user-friendly programming paradigms that allow humans and robots to work together seamlessly. Muxfeldt’s major contributions include pioneering the use of tactile surface sensors (TSS) as gesture input devices for robot programming, exploring how low-cost, modular tactile sensors can enable reliable physical human-robot interaction (pHRI) in industrial settings. His user studies on kinesthetic teaching in assembly operations (28 citations) and human-robot-interactive recovery for assembly problems (5 citations) provide foundational insights into how workers can naturally guide and correct robots without specialized programming skills. Muxfeldt also advanced the Manipulation Primitive paradigm, simplifying synchronization in cooperative robot tasks. Through his work on academia-industry collaboration, he has helped bridge the gap between robotics research and real-world manufacturing applications. His research is essential reading for anyone interested in democratizing industrial robotics through tactile sensing and intuitive interaction methods.
Research Focus
Key Achievements
Top Papers
- 1Kinesthetic Teaching in Assembly Operations – A User Study28 citations · 2014
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