N.K.A.M. Rashid

International Islamic University Malaysia

Papers

Total Citations

H-Index

About

N.K.A.M. Rashid is a robotics researcher whose work focuses on autonomous navigation, sensor integration, and human-robot interaction. His key research areas include mobile robot localization, path planning, and the development of intuitive control interfaces for robotic systems. Rashid’s most cited work, “Autonomous Navigation of Mobile Robot Using Kinect Sensor” (2014, 9 citations), addresses the challenge of real-time depth camera application for indoor robot navigation, demonstrating how low-cost sensors like Microsoft Kinect can enable effective autonomous movement. In “Vision Aided Path Planning for Mobile Robot” (2014, 2 citations), he provides a historical overview and framework for integrating visual data into path planning algorithms, contributing to the foundational understanding of vision-based robotics. Additionally, his work on “Graphical user interface for Humanoid Head Amir-II” (2010, 2 citations) showcases his ability to bridge hardware and software, creating a monitoring tool that controls actuator positioning and processes visual input from a webcam. Though his citation counts are modest, Rashid’s contributions are notable for their practical focus on accessible, real-world robotic applications, particularly in indoor environments. His research offers valuable insights for students and engineers exploring cost-effective solutions in autonomous systems and humanoid robotics.