Nurul Fazlin Roslan

Papers

Total Citations

H-Index

About

Nurul Fazlin Roslan is a researcher specializing in robotics and sensor technology, with a particular focus on developing artificial hand grippers that mimic the dexterity of the human hand. Her most-cited work, "Development of artificial hand gripper by using flex force sensor" (2014), has garnered 7 citations and addresses the challenge of creating multi-finger grippers capable of handling objects of varying sizes and shapes—a critical advancement for industrial and assistive robotics. By integrating flex force sensors, Roslan’s research enhances tactile feedback and precision in robotic grasping, bridging the gap between human-like manipulation and automated systems. Her contributions are foundational for applications in prosthetics, manufacturing, and human-robot interaction, where adaptive gripping is essential. Though her citation count reflects a focused, early-career impact, her work underscores a commitment to solving real-world engineering problems. Roslan’s research offers valuable insights for students and engineers exploring sensor-driven robotic design, demonstrating how simple innovations in force sensing can revolutionize artificial hand functionality.