RoboticsRAPIDComputer VisionABB YuMi

Automated Crochet Robot

Award-winning dissertation project — a dual-arm ABB YuMi robot programmed to automate crochet using computer vision

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Project Details

RobotABB YuMi (IRB 14000)

VisionCognex vision tools

LanguageRAPID

RecognitionOxford Brookes Tech Show 2025 Award

TypeBSc Dissertation (2:1)

About This Project

Designed and programmed a dual-arm robotic system to automate the craft of crochet, using an ABB YuMi collaborative robot and Cognex vision tools for real-time yarn and hook tracking. The system coordinates both arms to manipulate a crochet hook and yarn tension simultaneously — replicating the bimanual dexterity that makes crochet one of the hardest textile crafts to automate. Programmed in RAPID (ABB's robot language) with vision-guided positioning for adaptive stitch placement. This project won the School of Engineering, Computing and Mathematics Award at the Oxford Brookes Tech Show 2025.