Papers

6

Total Citations

64

H-Index

5

About

Syed Hassan’s research centers on human-robot interaction, industrial manipulator control, and intuitive programming interfaces. His major contributions include pioneering augmented reality and smartphone-based control architectures for industrial robot teaching pendants, dramatically simplifying the traditionally complex programming of manipulators. His most-cited work, “Augmented reality based teaching pendant for industrial robot” (24 citations), and its follow-up “Smartphone Based Control Architecture of Teaching Pendant for Industrial Manipulators” (19 citations) established new paradigms for remote, user-friendly robot operation. Hassan also advanced open-architecture design with his “Dynamic Manipulator Design Philosophy” (8 citations) and developed a 6-DOF manipulator teaching system leveraging smartphone orientation (6 citations). Beyond manufacturing, he applied robotic virtual manipulation to nuclear hot-cell digital mock-up systems (5 citations), addressing critical safety challenges in radioactive environments. His forward-looking work on swarm nano-robotic carriers for neuro-invasive drug delivery (2 citations) demonstrates versatility in biomedical robotics. Collectively, Hassan’s research has garnered over 64 citations, reflecting his impact on making industrial robotics more accessible, intuitive, and safe for operators.

Research Focus

Key Achievements

5
H-Index
6
Papers
64
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Augmented reality based teaching pendant for industrial robot
24 citations · 2012
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Gyeongsang National University, University of Gujrat

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago