Papers

10

Total Citations

202

H-Index

5

About

Dimitra Triantafyllou is a robotics researcher whose work spans two distinct yet complementary domains: robotic manipulation of deformable objects and agricultural automation. She has made significant contributions to the challenge of robotic garment handling, developing foundational methods for detecting, classifying, and unfolding clothing items using geometric, visual, and multi-sensorial approaches. Her 2015 paper on geometric garment unfolding (41 citations) and her 2016 work on multi-sensorial garment recognition (24 citations) established her as a key voice in this notoriously difficult problem space, where unpredictable fabric shapes and material properties challenge conventional robotic perception. Her earlier research introduced structured primitive-based frameworks for representing cloth configurations, providing the theoretical scaffolding for subsequent unfolding strategies. More recently, Triantafyllou has extended her expertise into precision agriculture, co-authoring a highly impactful 2023 survey on robotic harvesting systems that has already accumulated 86 citations, signaling its rapid adoption as a reference work in the field. Her 2024 work on multisensory grape harvesting robots further demonstrates her growing engagement with real-world agricultural deployment. Across her career, she consistently bridges perception, learning, and manipulation to tackle real-world robotic challenges with practical and lasting relevance.

Research Focus

Key Achievements

5
H-Index
10
Papers
202
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A Survey of Robotic Harvesting Systems and Enabling Technologies
86 citations · 2023
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Information Technologies Institute, Centre for Research and Technology Hellas, University of Patras

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago