Krzysztof Sapiecha

Papers

3

Total Citations

16

H-Index

3

About

Krzysztof Sapiecha’s research centers on the intersection of mobile robotics, human-robot interaction, and virtual reality training systems. His major contributions lie in developing data-driven methods for mobile robot navigation and pattern classification, particularly for surveillance tasks where robots must detect environmental changes within strict time constraints. His most cited work (2015, 8 citations) introduces an experimental system where human operators plan robot tours through a simulator-game hybrid, with winning strategies directly applied to real robots—bridging simulation and physical deployment. Sapiecha also pioneered virtual reality-based training and selection tools for mobile robot operators, as shown in his 2006 and 2007 papers (4 citations each). These works demonstrate how gamified VR environments can improve operator skills, reveal personal traits, and rank candidates, evolving from early simulators to sophisticated software tools. His research has practical impact in security and surveillance robotics, offering scalable solutions for operator training. With a career spanning over a decade, Sapiecha’s work uniquely combines robotics, cognitive science, and game design, establishing him as a contributor to human-centered automation. His citation record reflects steady influence in specialized robotics training communities.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Experimental data driven robot for pattern classification
8 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago