{"ID":2863983,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.25504","arxiv_id":"2509.25504","title":"XR Blocks: Accelerating Human-centered AI + XR Innovation","abstract":"We are on the cusp where Artificial Intelligence (AI) and Extended Reality (XR) are converging to unlock new paradigms of interactive computing. However, a significant gap exists between the ecosystems of these two fields: while AI research and development is accelerated by mature frameworks like JAX and benchmarks like LMArena, prototyping novel AI-driven XR interactions remains a high-friction process, often requiring practitioners to manually integrate disparate, low-level systems for perception, rendering, and interaction. To bridge this gap, we present XR Blocks, a cross-platform framework designed to accelerate human-centered AI + XR innovation. XR Blocks strives to provide a modular architecture with plug-and-play components for core abstraction in AI + XR: user, world, peers; interface, context, and agents. Crucially, it is designed with the mission of \"reducing frictions from idea to reality\", thus accelerating rapid prototyping of AI + XR apps. Built upon accessible technologies (WebXR, three.js, TensorFlow, Gemini), our toolkit lowers the barrier to entry for XR creators. We demonstrate its utility through a set of open-source templates, samples, and advanced demos, empowering the community to quickly move from concept to interactive XR prototype. Site: https://xrblocks.github.io","short_abstract":"We are on the cusp where Artificial Intelligence (AI) and Extended Reality (XR) are converging to unlock new paradigms of interactive computing. However, a significant gap exists between the ecosystems of these two fields: while AI research and development is accelerated by mature frameworks like JAX and benchmarks lik...","url_abs":"https://arxiv.org/abs/2509.25504","url_pdf":"https://arxiv.org/pdf/2509.25504v1","authors":"[\"David Li\",\"Nels Numan\",\"Xun Qian\",\"Yanhe Chen\",\"Zhongyi Zhou\",\"Evgenii Alekseev\",\"Geonsun Lee\",\"Alex Cooper\",\"Min Xia\",\"Scott Chung\",\"Jeremy Nelson\",\"Xiuxiu Yuan\",\"Jolica Dias\",\"Tim Bettridge\",\"Benjamin Hersh\",\"Michelle Huynh\",\"Konrad Piascik\",\"Ricardo Cabello\",\"David Kim\",\"Ruofei Du\"]","published":"2025-09-29T21:00:53Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.AI\",\"cs.GR\",\"cs.SE\"]","methods":"[]","has_code":false}