M.A.M. Shukran

Papers

Total Citations

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About

M.A.M. Shukran is a researcher whose work centers on human-robot interaction, computer vision, and sensor-based control systems. His most notable contribution is the development of a gesture recognition robot using the Kinect sensor, a project that demonstrated how natural human movements and gestures could be used to intuitively control robotic systems. This work, published in 2016, represents an early and practical application of affordable depth-sensing technology for robotics, offering a breakthrough in making robot control more accessible and user-friendly. By leveraging the Kinect’s motion-tracking capabilities, Shukran’s research provided a foundation for non-contact, gesture-driven interfaces that reduce the need for complex programming or handheld controllers. While his citation count is modest, the conceptual impact of his work lies in its pioneering approach to bridging human motion and robotic response, influencing subsequent studies in assistive robotics and interactive systems. His research remains a relevant reference for those exploring low-cost, vision-based control methods in human-robot collaboration.