Izni Syahrizal Ibrahim
Papers
2
Total Citations
7
H-Index
2
About
Izni Syahrizal Ibrahim is a robotics researcher specializing in wall-climbing robots and real-time structural inspection systems. His work focuses on developing autonomous robots capable of navigating vertical surfaces for infrastructure monitoring, particularly in crack detection and classification. Ibrahim’s most notable contribution is the integration of deep learning models, such as MobileNetV2, into wall-climbing robots for real-time crack classification, achieving efficient and accurate defect identification. His research on hybrid adhesion mechanisms—combining suction and magnetic or mechanical grips—advances robot mobility on diverse surfaces, from concrete to metal. With over 7 citations across his key papers, Ibrahim’s work addresses critical challenges in civil engineering and industrial maintenance, reducing human risk in hazardous inspections. His 2023 study on real-time crack classification exemplifies his impact, bridging robotics and AI for practical applications. Ibrahim’s achievements include developing compact, energy-efficient robots that balance adhesion strength and maneuverability, paving the way for safer, more reliable infrastructure monitoring. His research continues to inspire innovations in autonomous inspection systems, making him a rising figure in field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis of the Hybrid Adhesion Mechanism of the Wall Climbing Robot3 citations · 2022