Kokou Langueh
Papers
1
Total Citations
7
H-Index
1
About
Kokou Langueh is a researcher whose work lies at the intersection of environmental monitoring, robotics, and data science. His primary research focuses on developing innovative methods for real-time water quality assessment, with a particular emphasis on integrating field measurements with robotic simulations. Langueh’s major contribution, exemplified in his 2022 paper "Water Quality Map Extraction from Field Measurements Targeting Robotic Simulations," addresses the critical challenge of translating sparse, physical water quality data into actionable, simulation-ready maps. This work is foundational for enabling autonomous robotic systems to navigate and monitor freshwater resources, offering a technological leap over traditional, labor-intensive sampling methods. By bridging the gap between raw environmental data and robotic perception, his research directly supports the degradation assessment of freshwater ecosystems. With 7 citations, this paper has already garnered attention for its practical approach to a pressing environmental problem. Langueh’s work is particularly notable for its interdisciplinary nature, combining hydrology, sensor technology, and robotics, making it highly relevant for students and researchers interested in environmental robotics, smart water management, and the application of AI in ecological monitoring.
Research Focus
Key Achievements
Top Papers
- 1