Edeh Michael Onyema
Papers
1
Total Citations
15
H-Index
1
About
Dr. Edeh Michael Onyema is a leading researcher at the intersection of artificial intelligence and robotics, with a primary focus on intelligent navigation, computer vision, and embedded systems. His most cited work, "Robot visual navigation estimation and target localization based on neural network" (2022, 15 citations), tackles the critical challenge of enabling autonomous robots to navigate complex environments with limited computational resources. By integrating panoramic vision with neural networks, Dr. Onyema developed a method that significantly reduces computational overhead while improving target localization accuracy—a breakthrough for real-world applications in search-and-rescue, industrial automation, and autonomous vehicles. His contributions extend to optimizing embedded system performance, making AI-driven robotics more accessible and efficient. With a growing citation record, Dr. Onyema’s research is shaping the future of intelligent mobile robotics, offering practical solutions to the high-cost and environmental constraints that have long hindered autonomous navigation. His work is essential reading for students and engineers seeking to advance low-power, vision-based robotic systems.
Research Focus
Key Achievements
Top Papers
- 1