Gonzalo Tejera
Universidad de la República de Uruguay, Universidad de Montevideo
Papers
23
Total Citations
428
H-Index
10
About
Gonzalo Tejera is a researcher whose work spans two richly interconnected domains: educational robotics and computational thinking in early childhood, and autonomous robot navigation and spatial cognition. His most impactful contributions center on understanding how young children develop computational thinking (CT) skills, with his 2021 systematic review on preschool children and robots accumulating 124 citations and establishing him as a leading voice in this emerging field. Alongside collaborators, Tejera has demonstrated meaningful associations between cognitive abilities—such as sequencing and symbolic number comparison—and CT skills in five-year-olds, while also designing and evaluating robotics-based interventions that foster these skills in kindergarten classrooms. His work carefully examines factors like task engagement and social design in shaping learning outcomes. On the technical side, Tejera has made notable contributions to bio-inspired robot navigation, integrating place cells, grid cells, and head direction cells into spatial cognition models, as well as advancing path planning algorithms and deep reinforcement learning-based SLAM systems. His release of the MAgro dataset further reflects a commitment to open, applied research in agricultural robotics. Together, his body of work bridges cutting-edge robotics research and meaningful educational impact.
Research Focus
Key Achievements
Top Papers
- 1Preschool children, robots, and computational thinking: A systematic review124 citations · 2021
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- 6Real path planning based on genetic algorithm and Voronoi diagrams18 citations · 2011
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- 8Educational Robotics and Computational Thinking Development in Preschool15 citations · 2019
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- 10DA-SLAM: Deep Active SLAM based on Deep Reinforcement Learning12 citations · 2022