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About

Mahasan Mat Ali is a researcher at the forefront of intelligent robotics and human-machine interaction, with a focus on vision-based navigation, educational robotics, and haptic sensing. His most cited work, "Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review" (2018, 22 citations), provides a comprehensive analysis of how vision systems enable safe mobile robot navigation, a critical advancement for industrial and service sectors. He also explores the role of robots in education, as seen in "Robot and human teacher" (2014, 11 citations), where he investigates how robotic teachers can enhance instructional effectiveness. In "Design of an Internet of Things Based Electromagnetic Robotic Arm for Pick and Place Applications" (2020, 6 citations), Ali integrates IoT with robotic arms to enable wireless human-machine interaction, pushing the boundaries of collaborative robotics. His work on "Towards the Development of Kansei Haptic Sensing Technology for Robot Application – Exploring Human Haptic Emotion" (2018, 4 citations) pioneers the incorporation of emotional haptic feedback into robotic systems, bridging the gap between technical functionality and human experience. With a growing citation impact, Mahasan Mat Ali’s research is shaping the future of intelligent, interactive, and emotionally aware robotic systems.