Papers

10

Total Citations

89

H-Index

6

About

Tim Beyl is a leading researcher in surgical robotics, with a focus on intuitive human-robot cooperation and cognitive systems for the operating room. His work centers on developing safe, perceptive robotic platforms that enhance surgical precision and workflow. Beyl’s major contributions include pioneering the use of Microsoft Kinect cameras for people detection and tracking in surgical settings, as demonstrated in his most-cited papers (19 and 18 citations), which address the unique challenges of camera placement and safety in the OR. He is the architect of the OP:Sense system, an integrated rapid development environment for robot-assisted surgery that enables telemanipulation and autonomous tasks like cutting and needle insertion. His research on ROS-based cognitive surgical robotics (13 citations) and iterative targeting methods for keyhole surgery (5 citations) further advances autonomous surgical assistance. Beyl’s work on multi-sensor perception and haptic feedback has laid the groundwork for safer, more intuitive robotic systems, with cumulative citations exceeding 90. His contributions to the EU FP7 SAFROS and ACTIVE projects underscore his impact on awake neurosurgery and collaborative surgical robotics.

Research Focus

Key Achievements

6
H-Index
10
Papers
89
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room
19 citations · 2015
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Karlsruhe Institute of Technology, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago