Anuar Mohammed Kassim
Papers
1
Total Citations
6
H-Index
1
About
Anuar Mohammed Kassim is a robotics researcher whose work centers on sensory systems and automation for mobile robots. His most notable contribution, detailed in his highly cited 2014 paper "METAL LINE DETECTION: A NEW SENSORY SYSTEM FOR LINE FOLLOWING MOBILE ROBOT," introduces an innovative approach to automated guided vehicles (AGVs). Rather than relying on conventional optical or magnetic line-following methods, Kassim’s system employs metal detection sensors to navigate along a metallic path, offering enhanced robustness in industrial environments where visual cues may fail. This work, which has garnered 6 citations, focuses on the hardware integration of the metal sensor with the AGV platform, demonstrating a practical and reliable solution for material transport and factory automation. By pioneering this alternative sensory modality, Kassim has contributed a valuable tool for flexible manufacturing and logistics. His research bridges the gap between sensor technology and autonomous navigation, providing a foundation for future work in non-visual guidance systems. For students and researchers exploring sensor fusion or industrial robotics, Kassim’s work represents a clever, application-driven approach to solving real-world automation challenges.
Research Focus
Key Achievements
Top Papers
- 1