Dolor R. Enarevba

Federal University of Petroleum Resource Effurun, Oregon State University

Papers

Total Citations

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About

Dolor R. Enarevba is a robotics researcher focused on developing practical, low-cost autonomous systems for real-world applications. Their primary research areas include modular robotics, automation for hazardous environments, and intelligent control systems. Enarevba’s major contributions center on the design and fabrication of specialized robots using locally sourced materials, making advanced automation more accessible. Their most cited work, “Development of a Modular Wall Painting Robot for Hazardous Environment” (2021, 3 citations), presents a remotely controlled robot for painting in dangerous settings, emphasizing safety and affordability. Equally impactful is their study on a “Light Weight Autonomous Lawn Mower and Performance Analysis using Fuzzy Logic Technique” (2022, 3 citations), which integrates obstacle avoidance with fuzzy logic control for efficient, autonomous lawn maintenance. Though early in their career, Enarevba’s work demonstrates a clear commitment to bridging the gap between theoretical robotics and tangible, deployable solutions. Their focus on modularity and local materials offers a replicable model for robotics development in resource-constrained environments, marking them as an emerging voice in practical automation engineering.