Benjamin Munske
Papers
5
Total Citations
120
H-Index
3
About
Benjamin Munske is a pioneering researcher at the intersection of robotics and otologic surgery, whose work has fundamentally advanced the precision and safety of inner-ear interventions. His primary research areas include image-guided surgical robotics, force sensing for mobile manipulation, and the development of practical robotics education. Munske’s most significant contribution is his groundbreaking work on robotic mastoidectomy and percutaneous inner-ear access, demonstrating that an industrial robot can be programmed to safely perform high-accuracy bone shaping near critical neural structures—a feat that had previously hindered clinical adoption of robotics in otology. His 2010 paper on image-guided robot access to the inner ear has garnered 60 citations, while his companion study on robotic mastoidectomy has been cited 46 times, underscoring their influence on the field. Beyond surgical robotics, Munske has advanced low-cost force sensing for mobile robots, enabling tactile feedback in cost-constrained applications. He also led the RoboCup@Work team to victory in 2012 and developed the innovative RobotChallenge course, which bridges theory and hands-on competition to inspire the next generation of roboticists.
Research Focus
Key Achievements
Top Papers
- 1Percutaneous inner-ear access via an image-guided industrial robot system60 citations · 2010
- 2Robotic Mastoidectomy46 citations · 2010
- 3Force sensing, low-cost manipulator in mobile robotics9 citations · 2017
- 4RoboCup@Work League Winners 20123 citations · 2013
- 5The RobotChallenge - A research inspired practical lecture2 citations · 2012