Papers

4

Total Citations

26

H-Index

4

About

Athanasios C. Tsitos is a researcher advancing human-robot interaction through vision-based systems, with a focus on making robots more accessible and intuitive for everyday users. His work centers on three key areas: learning from demonstration, teleoperation, and human intention prediction for collaborative robotics. Tsitos pioneered methods for smoothing human movements captured by a single RGB-D camera, enabling end-users to teach robots new skills without complex setups—a contribution cited 10 times in his most recognized paper. He also developed real-time teleoperation systems that handle visual noise through adaptive motion control, achieving 6 citations, and evaluated markerless 3D pose estimation using OpenPose and depth data for safe human-robot collaboration (5 citations). Notably, his research on predicting human intentions in competitive reaching games demonstrates real-time feasibility for shared workspaces, earning 5 citations. Tsitos’s work bridges the gap between affordable sensing and robust robotic control, offering practical solutions for domestic and industrial environments where autonomy is limited. His contributions are particularly impactful for students and researchers exploring cost-effective, vision-driven approaches to human-robot teamwork.

Research Focus

Key Achievements

4
H-Index
4
Papers
26
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Smoothing of human movements recorded by a single RGB-D camera for robot demonstrations
10 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National Centre of Scientific Research "Demokritos", University of Piraeus

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago