Contact Dr. Ndidiamaka Adiuku
- Email: N.P.Adiuku@cranfield.ac.uk
- ORCID
Background
Amaka Adiuku is a Robotics and AI Research Fellow, specializing in autonomous systems, deep learning, and intelligent automation. With a strong background in robotic vision, machine learning, and industrial automation, she is driving advancements in AI-powered robotics, X-ray image analysis, and visualization for aerospace inspection.
She holds an MSc in Software Engineering from Kingston University London and a PhD that focused on AI-driven obstacle detection and avoidance for autonomous ground robots in dynamic and unstructured environments. Her research integrates sensor fusion and deep learning models to enhance robotic obstacle detection, avoidance, and path planning.
Previously, she worked as an IT manager, overseeing the development and operations of enterprise solutions, platforms, and automation technologies. She has played a key role in driving cross-platform integrations to enhance efficiency and streamline technological workflows in various organizations.
Research opportunities
Her research focused on AI-driven obstacle detection and avoidance for autonomous ground robots in dynamic and unstructured environments. Her research integrates sensor fusion and deep learning models to enhance robotic obstacle detection, avoidance, and path planning.
Current activities
With a strong background in robotic vision, machine learning, and industrial automation, she is driving advancements in AI-powered robotics, X-ray image analysis, and visualization for aerospace inspection.
Publications
Articles In Journals
- Adiuku N, Avdelidis NP, Tang G & Plastropoulos A. (2024). Advancements in learning-based navigation systems for robotic applications in MRO hangar: review. Sensors, 24(5)
- Adiuku N, Avdelidis NP, Tang G, Plastropoulos A & Diallo Y. (2024). Mobile robot obstacle detection and avoidance with NAV-YOLO. International Journal of Mechanical Engineering and Robotics Research, 13(2)
- Adiuku N, Avdelidis NP, Tang G & Plastropoulos A. (2024). Improved hybrid model for obstacle detection and avoidance in robot operating system framework (rapidly exploring random tree and dynamic windows approach). Sensors, 24(7)
Conference Papers
- Asif S, Hryshchenko Sumina Y, Holden M, Contino M, Adiuku N, .... (2024). Advancements in 3D x-ray imaging: development and application of a twin robot system
- Adiuku A, Avdelidis NP, Tang G, Plastropoulos A & Perinpanayagam S. (2023). CNN-fusion architecture with visual and thermographic images for object detection
- Plastropoulos A, Adiuku N, Avdelidis NP, Ibarra-Castanedo C, Maldague X, .... (2023). A short review on infrared thermography: history, philosophy, approaches, standards, and application examples
