首页|Research on Androids Detailed by a Researcher at Konkuk University(Diverse Huma noid Robot Pose Estimation from Images UsingOnly Sparse Datasets)
Research on Androids Detailed by a Researcher at Konkuk University(Diverse Huma noid Robot Pose Estimation from Images UsingOnly Sparse Datasets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on androids are disc ussed in a new report. According to newsreporting out of Seoul, South Korea, by NewsRx editors, research stated, “We present a novel dataset forhumanoid robot pose estimation from images, addressing the critical need for accurate pose est imationto enhance human-robot interaction in extended reality (XR) applications .”Funders for this research include National Research Foundation of Korea; Korea I nstitute of ScienceAnd Technology (Kist) Institutional Program; Konkuk Universi ty.Our news correspondents obtained a quote from the research from Konkuk Universit y: “Despitethe importance of this task, large-scale pose datasets for diverse h umanoid robots remain scarce. Toovercome this limitation, we collected sparse p ose datasets for commercially available humanoid robotsand augmented them throu gh various synthetic data generation techniques, including AI-assisted imagesyn thesis, foreground removal, and 3D character simulations. Our dataset is the fir st to provide full-bodypose annotations for a wide range of humanoid robots exh ibiting diverse motions, including side and backmovements, in real-world scenar ios. Furthermore, we introduce a new benchmark method for real-timefull-body 2D keypoint estimation from a single image.”
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