Mustafa Ozkan Yerebakan

University of Florida

Papers

9

Total Citations

107

H-Index

5

About

Mustafa Ozkan Yerebakan is a leading researcher at the intersection of human-robot collaboration (HRC), wearable sensing, and agricultural automation. His work focuses on designing safe, ergonomic, and socially acceptable robotic systems for real-world environments—from farms and retail spaces to e-waste recycling facilities. Yerebakan’s major contributions include developing wearable sensor-based motion tracking to assess biomechanical and cognitive workload during collaborative tasks, such as simulated pollination and electronic waste disassembly. His highly cited 2024 review on human-robot collaboration in modern agriculture (32 citations) synthesizes the field’s challenges and opportunities, while his 2022 study on human-robot interaction in retail (25 citations) provides critical datasets for improving robot navigation around people. Yerebakan has also explored factors influencing stakeholder acceptance of agricultural robotics and wearable technologies, bridging technical design with human factors. His work on ergonomic risk assessment during HRC tasks has direct implications for reducing musculoskeletal injuries in labor-intensive industries. With over 100 total citations, Yerebakan’s research is shaping the future of collaborative robotics in agriculture, retail, and sustainable manufacturing.

Research Focus

Key Achievements

5
H-Index
9
Papers
107
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Human–Robot Collaboration in Modern Agriculture: A Review of the Current Research Landscape
32 citations · 2024
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Florida

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago