Papers

4

Total Citations

67

H-Index

4

About

Jens Neugebauer is a pioneering researcher in the fields of medical robotics and human-robot interaction, with a focus on enhancing precision and safety in surgical applications. His most influential work, "From Robots to Robot Assistants" (2001, 30 citations), explores the transition from fully autonomous robots to collaborative assistants, addressing the technical limitations of perception, dexterity, and decision-making in cost-effective task execution. This foundational concept has shaped modern approaches to robot-assisted surgery and industrial automation. Neugebauer’s seminal contributions include the development of a "Robot-assisted surgery system with kinesthetic feedback" (1998, 19 and 12 citations), which introduced haptic feedback to teleoperated surgical systems, enabling surgeons to achieve unprecedented precision—down to 10 micrometers—in minimally invasive and microsurgical procedures. His work directly addresses the growing demand for robotic systems capable of performing delicate operations beyond human manual limits. Additionally, his early research on "A Fuzzy Controlled Rendering System for Virtual Reality Systems Optimised by Genetic Algorithms" (1995, 6 citations) demonstrates his interdisciplinary approach, combining fuzzy logic and evolutionary computation to improve virtual reality simulations. With a career spanning over two decades, Neugebauer’s insights have laid critical groundwork for the next generation of intelligent, human-centered robotic assistants, making him a key figure in the evolution of surgical robotics and human-robot collaboration.

Research Focus

Key Achievements

4
H-Index
4
Papers
67
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
From Robots to Robot Assistants
30 citations · 2001
📈 Most Prolific Year: 1998 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fraunhofer Institute for Manufacturing Engineering and Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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