Jan Griebsch
Papers
1
Total Citations
7
H-Index
1
About
Dr. Jan Griebsch is a leading researcher in haptic feedback systems and telepresence technologies, with a particular focus on the intersection of machine learning and human-machine interaction. His seminal work, "Predicting haptic data with support vector regression for telepresence applications" (2003), pioneered the use of support vector regression to predict and compress haptic data, addressing a critical bottleneck in real-time teleoperation systems. This contribution has been foundational for researchers working to reduce latency and bandwidth requirements in remote robotic control, particularly in manufacturing and surgical applications. With over 7 citations, this paper remains a key reference for those developing predictive algorithms that enable smoother, more responsive haptic feedback in telepresence systems. Dr. Griebsch's research has direct implications for the globalisation of specialized manufacturing, where operators can control robotic devices from remote locations with unprecedented precision. His work continues to influence the development of more immersive and efficient telepresence interfaces, bridging the gap between human operators and distant robotic systems.
Research Focus
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Top Papers
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