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A Vision-driven Robotic Dynamic Grasping System for Anomaly Objects in Dynamic Production Scenarios

Objective

In 2021, global manufacturing activity had rebounded to pre-pandemic levels, accounting for approximately 17% of worldwide gross domestic product on average, and the EU contributing 14.9%, solidifying its position as the region’s most economically significant industrial sector . However, the implement of advanced robotic systems has shown an annual global increment of 12% with the most active being in the industrial sector , which is expected to reach USD 60,562 million by 2030 . To sustain its position and enhance its manufacturing competitiveness, EU manufacturing industries must advance Green Deal-driven sustainable industrial growth , accelerate smart automation under Industry 5.0 and enable circular economy transitions , while upholding stringent product quality and safety standards. Thus, developing advanced, production-challenge-tailored robotic systems has grown ever more critical. In current industrial settings, vision-driven robotic grasping models are predominantly deployed for picking and sorting tasks on production lines , whereas defective products are typically identified by vision systems but still often removed by human laborers. Academically, research in anomaly detection (AD) and grasping pose detection (GPD) has been progressing independently due to the limited industrial datasets, fewer defect types and temporal dependencies. Against this backdrop, the Vision-driven Robotic Defective Grasping System (VRDGS) emerges as a solution designed to address these challenges head-on. The robotic griper is required to quickly identify anomaly objects and remove them without downtime, ensuring production efficiency and quality.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 260 347,92
Address
TRINITY LANE THE OLD SCHOOLS
CB2 1TN CAMBRIDGE
United Kingdom

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Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
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Total cost

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