Papers

4

Total Citations

14

H-Index

2

About

Paul Svasta is a researcher whose work spans the intersecting domains of mechatronic systems, autonomous robotics, and technology-enhanced education. His most recognized contribution examines the modeling and simulation of position sensors for electro-hydraulic systems, addressing the precise control requirements of applications ranging from automated manufacturing tools to seismic test benches — work that has garnered 6 citations and reflects his commitment to bridging theoretical modeling with real-world industrial challenges. Svasta has also made meaningful contributions to autonomous robotics, with research into stereo vision-based terrain navigation and multi-sensor platform design, exploring how visual processing can reduce dependency on additional sensors for robot autonomy. His 2008 and 2009 studies in this area collectively demonstrate a sustained interest in intelligent, self-navigating systems inspired by human perception. More recently, Svasta has turned his attention toward the future of higher education, contributing to the discourse on Education 4.0 by proposing AI-integrated learning laboratories capable of addressing gaps in digital literacy and infrastructure. With a research profile that connects hardware engineering to pedagogical innovation, Svasta represents a versatile academic voice navigating both applied technology and its broader educational implications.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Modelling and simulation of sensors for position control for hydraulic mechatronic systems
6 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universitatea Națională de Știință și Tehnologie Politehnica București

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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