Papers
4
Total Citations
28
H-Index
2
About
Rayi Yanu Tara is a researcher whose work bridges human-robot interaction, computer vision, and teleoperation systems. His primary research areas include hand gesture recognition, depth image processing, and 3D mapping for remote environments. Tara’s most cited paper, “Hand Segmentation from Depth Image using Anthropometric Approach in Natural Interface Development” (2012, 22 citations), introduces a novel method for segmenting hand gestures from depth images using anthropometric constraints and image thresholding—a foundational contribution to natural interface development that enables more intuitive human-robot communication. He also advanced teleoperation technology with his work on omnidirectional cameras integrated with unified RGBD sensors, proposing a system that accelerates 3D map construction for remote environments, thereby improving visualization refresh rates. Additionally, Tara developed a robust, low-cost proximity sensor for line detection robots using the Goertzel algorithm, demonstrating practical innovation in robotics competitions. His research on spatial cue augmentation to improve visual momentum in tethered viewpoint displays further showcases his commitment to enhancing user experience in teleoperation. With a growing citation impact, Tara’s work continues to influence the design of intuitive interfaces and efficient mapping systems.
Research Focus
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Top Papers
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