Naveed ur Rehman

Hamdard University, Imperial College London

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About

Naveed ur Rehman is a robotics researcher whose work bridges autonomous navigation and human-machine interaction. His primary research areas include autonomous ground vehicles (UGVs), simultaneous localization and mapping (SLAM), and electromyography (EMG)-based gesture recognition. His most cited paper, "Implementation of an autonomous path planning & obstacle avoidance UGV using SLAM" (2018, 17 citations), addresses a core challenge in robotics: enabling machines to navigate unknown environments without human intervention. This work contributes to the growing field of autonomous systems, where robots are increasingly replacing human tasks such as object manipulation and path coverage. Rehman’s earlier notable work, "Power independent EMG based gesture recognition for robotics" (2011, 10 citations), introduces a novel method for detecting muscle contractions using surface EMG measurements from arm muscles. By identifying four distinct gestures, this system enables intuitive hand gesture control of robotic systems, advancing the field of assistive and prosthetic technologies. Together, these contributions demonstrate Rehman’s impact on both autonomous navigation and human-robot interaction, with his research laying groundwork for more responsive, independent robotic systems.