Papers

4

Total Citations

57

H-Index

3

About

Rodrigo Filev Maia is a leading researcher at the intersection of robotics, manufacturing, and Industry 4.0. His work primarily focuses on the simulation and integration of collaborative robots (cobots) into production environments, as well as robust control systems for autonomous mobile robots. His most cited paper, "Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0" (2019, 44 citations), provides a seminal analysis of how digital twin technologies can model the insertion of cobots into automotive production lines, offering a practical framework for modernizing factory floors. Maia’s earlier contributions include pioneering robust low-level motion control for wheeled mobile robots using stochastic active observers (2003), a method that enhanced tracking reliability despite parameter uncertainties. He has also addressed the human side of automation, exploring pedagogical robotics as a tool for upskilling workers for Industry 4.0 (2017). With a career spanning foundational control theory to applied digital manufacturing, Maia’s work is essential for engineers and researchers seeking to bridge the gap between theoretical robotics and real-world industrial implementation.

Research Focus

Key Achievements

3
H-Index
4
Papers
57
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0
44 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Centro Universitário FEI, Institute for Systems Engineering and Computers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago