Sebastian Zeller
Papers
1
Total Citations
19
H-Index
1
About
Sebastian Zeller is a leading researcher in human–robot collaboration (HRC), with a core focus on human motion capture, motion quality assessment, and the development of safe, adaptive physical interactions between humans and robotic systems. His most-cited work, "Human motion quality and accuracy measuring method for human–robot physical interactions" (2022, 19 citations), introduces a novel framework that uses wearable motion tracking—such as IMU and lighthouse-based systems—to quantitatively evaluate both the accuracy and quality of human movement during collaborative tasks. This contribution is pivotal for enabling real-time autonomy switching in HRC, allowing robots to dynamically adjust their behavior based on human motion data, thereby enhancing both efficiency and safety. Zeller’s research bridges biomechanics, sensor fusion, and control systems, offering practical tools for designing more intuitive and responsive robotic partners. His work is particularly influential in industrial settings where precise human motion analysis is critical for ergonomic and operational optimization. By providing a reproducible method for measuring motion quality, Zeller has laid important groundwork for future studies in human-aware robotics and adaptive automation.
Research Focus
Key Achievements
Top Papers
- 1