Raheel Kassoo

Asia Pacific University of Technology & Innovation

Papers

Total Citations

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About

Raheel Kassoo is a researcher in humanoid robotics and human-robot interaction, with a focus on intuitive control systems that bridge the gap between human motion and robotic actuation. His most-cited work, "Humanoid Robot Upper Limb Control Using Microsoft Kinect" (2017), introduces a novel mimicry-based control framework that enables real-time, gesture-driven manipulation of a humanoid robot’s upper limbs. By leveraging the Kinect sensor’s depth-sensing and skeletal tracking capabilities, Kassoo’s approach replaces traditional input devices—such as keyboards, joysticks, and controllers—with natural human movement, significantly lowering the barrier to robot operation. This contribution is particularly impactful for assistive robotics, teleoperation, and educational platforms, where intuitive interfaces are critical. With 5 citations, this paper has informed subsequent studies in vision-based robot control and non-invasive human-robot communication. Kassoo’s work exemplifies a practical step toward more accessible and responsive robotic systems, demonstrating how off-the-shelf sensing technology can be repurposed to achieve sophisticated upper-limb coordination in humanoid platforms. His research continues to inspire innovations in gesture-based control and autonomous mimicry.