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About

Youshaa Murhij is a researcher at the intersection of robotics, computer vision, and immersive technologies, with a focus on enhancing human-robot interaction through virtual and augmented reality. His work centers on developing intuitive control systems for industrial manipulators, such as the KUKA KR10, by integrating VR environments with stereo camera sensors to enable real-time simulation and control. Murhij’s contributions include a hand gestures recognition model for augmented reality robotic applications, which simplifies operator commands, and FMFNet, a novel framework that improves 3D object detection and tracking from point clouds by leveraging feature map flow—critical for autonomous driving and robotic perception. His most cited paper (13 citations) explores VR-based industrial robot control, while his research on faster VR response times addresses latency challenges in real-world deployments. Murhij’s work bridges the gap between virtual interaction and physical automation, demonstrating how immersive interfaces can make robotics more accessible and efficient. With a growing citation impact, he is advancing the practical use of VR and AR in manufacturing and autonomous systems, offering scalable solutions for safer, more responsive robotic control.