About

Timothy N. Judkins is a biomedical engineer and researcher whose work sits at the intersection of robotics, surgical training, and human motor control. His most significant contributions lie in developing objective performance metrics and augmented feedback systems for robotic laparoscopic surgery — a field where evaluation had long relied on subjective judgment. His 2008 paper on expert versus novice performance during robotic surgical training tasks, cited 137 times, established quantitative electromyographic and kinematic benchmarks that transformed how surgical competency is assessed. Building on this, Judkins pioneered the integration of augmented reality and haptic feedback into robot-assisted surgical systems, with his 2011 work garnering over 100 citations and addressing a critical gap in teleoperated surgical platforms. Beyond surgery, his research extends to human motor neuroscience, including measuring ankle stiffness using the MIT Anklebot and investigating visuo-proprioceptive interactions during motor adaptation. His contributions to passive dynamic walking robotics further demonstrate his broad expertise in human-machine movement systems. Across his career, Judkins has consistently translated fundamental motor science into practical clinical and training applications, making him a noteworthy figure for students interested in surgical robotics, rehabilitation engineering, and human motor learning.

Research Focus

Key Achievements

11
H-Index
15
Papers
521
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Objective evaluation of expert and novice performance during robotic surgical training tasks
137 citations · 2008
📈 Most Prolific Year: 2008 (5 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Intelligent Automation (United States), University of Maryland, Baltimore, University of Nebraska at Omaha, Marquette University, DEVCOM Army Research Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago