Papers

21

Total Citations

217

H-Index

9

About

Paulo Leica is a robotics and control systems researcher whose work spans autonomous vehicle coordination, human-robot interaction, and intelligent control strategies. His research has made meaningful contributions to the field of multi-robot systems, particularly through the development of null-space-based formation control frameworks. His 2016 paper on 3D formation control of autonomous vehicles has garnered 36 citations, establishing him as a notable voice in decentralized coordination strategies. Leica has also advanced bilateral teleoperation techniques, with his P+D plus sliding mode control approach for mobile robot teleoperation attracting 32 citations, reflecting strong community interest in robust remote-control methodologies. A recurring theme in Leica's portfolio is the integration of intelligent algorithms with classical control theory. His application of LAMDA — a machine learning-inspired approach — to both mobile robots and aerial manipulators demonstrates a commitment to bridging data-driven and model-based control. His work on human-robot interaction, including guiding systems and intention-based physical interaction, further broadens his impact into assistive robotics. With over 175 cumulative citations across ten notable publications, Leica represents a versatile contributor to modern robotics, offering solutions that are both theoretically rigorous and practically relevant across ground, aerial, and cable-driven robotic platforms.

Research Focus

Key Achievements

9
H-Index
21
Papers
217
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
3D Formation Control of Autonomous Vehicles Based on Null-Space
36 citations · 2016
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: National University of San Juan, National Polytechnic School, Centro Científico Tecnológico - San Juan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago