Cole Tarry
Papers
9
Total Citations
144
H-Index
7
About
Cole Tarry is a robotics and automation researcher whose work spans three compelling domains: rehabilitation robotics, industrial inspection systems, and agricultural automation. His earliest and most impactful contributions focused on robot-assisted stroke rehabilitation, where he developed dynamic biomechanical models to assess and monitor upper-limb movement during therapy. His 2011 randomized controlled trial evaluating a therapeutic robotic system in an inpatient stroke unit — cited 56 times — stands as his most influential work, offering clinical evidence for robotics' role in improving motor recovery following stroke. Tarry subsequently broadened his scope to industrial quality control, developing deflectometry-based robotic inspection systems capable of detecting defects on semi-specular automotive painted surfaces under real-world manufacturing conditions. More recently, his research has addressed pressing challenges in agricultural automation, including greenhouse harvesting robots, tomato object detection with generalizable machine vision models, and simulation environments for training robotic systems. His integrated bud detection system for floriculture pruning further demonstrates his commitment to practical automation solutions. With over 140 citations across his career, Tarry's research consistently bridges engineering innovation with real-world application, making meaningful contributions to healthcare, manufacturing, and sustainable food production.
Research Focus
Key Achievements
Top Papers
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- 3An Efficient Automotive Paint Defect Detection System17 citations · 2019
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- 5Object Detection in Tomato Greenhouses: A Study on Model Generalization8 citations · 2024
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