Joseph Azeta

Covenant University, Bells University of Technology

Papers

Total Citations

H-Index

About

Joseph Azeta is a researcher whose work sits at the intersection of robotics, embedded systems, and artificial intelligence, with a particular focus on developing practical, low-cost robotic solutions for real-world challenges. His most influential contribution, "Obstacle Detection Using Ultrasonic Sensors for a Mobile Robot" (2019), has garnered 53 citations and exemplifies his commitment to accessible robotics design, demonstrating how affordable sensor technology can enable effective autonomous navigation. Complementing this, his Android-based surveillance robot (2019, 32 citations) showcased his ingenuity in leveraging consumer-grade smartphone hardware to build cost-effective monitoring systems using Arduino microcontrollers — a practical approach that resonated widely with the research community. Azeta has also contributed to safety-critical robotics through his work on autonomous fire detection and firefighting systems, addressing tangible risks to human life and property. His more recent review on artificial intelligence and robotics in predictive maintenance signals an evolving research trajectory toward intelligent industrial applications. Across his body of work, Azeta consistently prioritizes affordability, sustainability, and real-world utility, making his research particularly valuable for emerging economies and resource-constrained environments. His growing citation record reflects an expanding influence within the robotics and automation research community.