Shamman Noor

Bangladesh University of Engineering and Technology

Papers

Total Citations

H-Index

About

Shamman Noor is a researcher in robotics and computer vision, with a focus on developing intuitive, vision-based control systems for human-robot interaction. His most-cited work introduces a real-time hand movement controlled robotic arm designed for risk prevention, where webcams capture hand gestures and morphological image processing enables precise, sensor-free manipulation. This approach reduces sensor noise and damage, offering a more adjustable and safer interface for hazardous environments. With 10 citations, this paper highlights his contribution to accessible, low-cost robotic control systems. Noor’s research bridges the gap between human dexterity and machine precision, emphasizing practical applications in safety-critical settings. His work is notable for its innovative use of image processing to replace traditional sensors, paving the way for more robust and adaptable robotic systems. For students and researchers, Noor’s research demonstrates the potential of computer vision to simplify and enhance human-robot collaboration, making it a valuable reference in the fields of assistive robotics and gesture-based control.