About

Anderson Souza is a Brazilian researcher whose work spans two deeply interconnected domains: educational robotics and autonomous mobile robot navigation. His early landmark contribution, "Increasing Students' Interest With Low-Cost CellBots" (2012, 44 citations), introduced an affordable, reconfigurable robotic platform designed to make hands-on learning accessible across undergraduate technological disciplines — a philosophy that continues to anchor his educational research. Parallel to this, Souza has made significant advances in robotic mapping and navigation, developing the occupancy-elevation grid (OEG) framework — a computationally efficient alternative to traditional 3D mapping methods — across multiple influential publications (2012–2015, collectively exceeding 75 citations). His 2018 work on multifoveated point clouds further demonstrates his commitment to solving real-world perception challenges in robotics. On the educational front, Souza has systematically examined robotics pedagogy through literature reviews, language-learning applications, and the FOCORE research network — a pioneering Latin American initiative connecting Brazilian and Peruvian institutions to reshape basic education through robotics. Across his career, Souza exemplifies a researcher who bridges theoretical rigor with practical accessibility, ensuring that advances in autonomous systems translate meaningfully into transformative learning experiences.

Research Focus

Key Achievements

9
H-Index
17
Papers
200
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Increasing Students' Interest With Low-Cost CellBots
44 citations · 2012
📈 Most Prolific Year: 2015 (4 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: University of Rio Grande and Rio Grande Community College, Universidade do Estado do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago