Peter Culmer
Papers
34
Total Citations
950
H-Index
15
About
Peter Culmer is a prominent researcher whose work spans robotic rehabilitation, tactile sensing, and medical robotics, with significant contributions that have shaped both clinical and engineering practice. His most celebrated contributions lie in two interconnected domains: upper limb stroke rehabilitation robotics and soft tactile sensor design for robotic systems. Culmer's rehabilitation robotics work, anchored by the iPAM (Intelligent Pneumatic Arm Movement) system, demonstrated how cooperative dual-robot control strategies could safely and therapeutically support stroke patients during recovery exercises. These papers, accumulating over 140 citations, were notable not only for their engineering rigor but for their emphasis on user involvement and clinical translation — ensuring robotic systems genuinely served patient needs. Equally impactful is his pioneering work on magnetic field-based and inductive soft tactile sensors, enabling robots to sensitively perceive contact forces in three axes. His 2016 sensor design paper alone has attracted 150 citations, reflecting the field's hunger for robust, flexible sensing solutions. His additional work on colorectal morphology quantification further illustrates his versatility across medical robotics applications. With over 700 combined citations across his most influential papers, Culmer represents a researcher who consistently bridges fundamental engineering innovation with meaningful real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Design Methodology for Magnetic Field-Based Soft Tri-Axis Tactile Sensors150 citations · 2016
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- 3Design and Characterization of Tri-Axis Soft Inductive Tactile Sensors87 citations · 2018
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- 9Initial patient testing of iPAM - a robotic system for Stroke rehabilitation30 citations · 2007
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