{"article":{"annotation":{"article_id":"french-lab-publishes-benchmark-for-long-horizon-robot-agents","available_at":"2026-10-12T23:33:55.270622Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"da38c4b1171436002147ea99c0a492f7629f0fc19f46eb96a8b7d9b9a8034060","input_sha256":"170151940e25530d7acf9038ef062049bc0ce47c55d7d6034f6b34c5055c5cd5","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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El benchmark evalúa el razonamiento persistente en misiones robóticas largas. Incluye 12 familias de escenarios con entre uno y tres robots, cambios de misión, interrupciones, observaciones parciales y fallos de ejecución simulados.","La evaluación reúne 1.254 episodios. Según los autores, incluso los modelos más sólidos probados fallan en una parte considerable de los episodios sin perturbaciones, y las tasas bajan más cuando estas aparecen. Se usó un subconjunto común de 215 episodios para comparar modelos punteros. Como separa las decisiones de alto nivel de la percepción y el control de bajo nivel y se basa en simulación, no demuestra el rendimiento de robots desplegados."],"sections":[]},"corrections":[],"country":"FR","data":{"blocks":[{"columns":[{"key":"indicator","label":{"ar":"المؤشر","de":"Indikator","en":"Indicator","es":"Indicador","fr":"Indicateur","pt":"Indicador","tr":"Gösterge"},"type":"text"},{"key":"count","label":{"ar":"العدد في نطاق التجربة","de":"Zahl im Versuchsrahmen","en":"Experimental scope count","es":"Cantidad en el alcance experimental","fr":"Nombre dans le périmètre expérimental","pt":"Quantidade no escopo experimental","tr":"Deney kapsamındaki sayı"},"type":"number","unit":"count"},{"key":"released","label":{"ar":"تاريخ نشر المسودة الأولية","de":"Veröffentlichungsdatum des Preprints","en":"Preprint publication date","es":"Fecha de publicación de la prepublicación","fr":"Date de publication de la prépublication","pt":"Data de publicação da pré-publicação","tr":"Ön baskının yayın tarihi"},"type":"date"}],"description":{"ar":"حلقات محاكاة عبر 12 عائلة سيناريو؛ وليست نشر روبوتات حقيقية","de":"Simulierte Episoden aus zwölf Szenariofamilien; 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não é estatística nacional nem resultado de campo.","tr":"Sayı, kaynak çalışmada bildirilen deney kapsamıdır; ulusal istatistik veya saha sonucu değildir."},"rowTranslations":[{"indicator":{"ar":"حلقات التقييم في MAGMA-Bench","de":"MAGMA-Bench-Bewertungsepisoden","en":"MAGMA-Bench evaluation episodes","es":"Episodios de evaluación de MAGMA-Bench","fr":"Épisodes d’évaluation de MAGMA-Bench","pt":"Episódios de avaliação do MAGMA-Bench","tr":"MAGMA-Bench değerlendirme bölümü"}}],"rows":[{"count":1254,"indicator":"MAGMA-Bench evaluation episodes","released":"2026-10-09"}],"sourceUrls":["https://arxiv.org/pdf/2610.13534"],"title":{"ar":"نطاق الدراسة","de":"Umfang der Studie","en":"Study scope","es":"Alcance del estudio","fr":"Périmètre de l’étude","pt":"Escopo do estudo","tr":"Çalışmanın kapsamı"},"type":"table","updatedAt":"2026-10-12T23:24:06Z"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/french-lab-publishes-benchmark-for-long-horizon-robot-agents/data/study-experimental-scope?lang=es&format=csv","json":"https://newsverum.com/api/v1/articles/french-lab-publishes-benchmark-for-long-horizon-robot-agents/data/study-experimental-scope?lang=es&format=json"},"id":"study-experimental-scope"}],"data_types":["table"],"editorial_illustration":{"alt":"Ilustración conceptual de tecnología, procesadores e información conectada.","asset_id":"newsverum-v1-technology","avif_variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.avif","width":480},{"height":480,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-720.avif","width":720},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.avif","width":960},{"height":800,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1200.avif","width":1200},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.avif","width":1536}],"credit":"Newsverum","documentary":false,"height":1024,"kind":"symbolic-editorial-illustration","language":"es","scope":"topic","url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.webp","width":480},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.webp","width":960},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","width":1536}],"width":1536},"event_id":"event-f10de3bd-56e1-5fcd-bf1f-d0f4b80263f7","event_period":"2026-10-09","event_period_basis":"event-or-reference-period","id":"french-lab-publishes-benchmark-for-long-horizon-robot-agents","image":null,"importance":0.6,"language":"es","modified_at":"2026-10-12T23:33:38+00:00","publication_basis":"publication-record","published_at":"2026-10-12T23:33:38+00:00","reading_minutes":1,"region":"world","section_illustration":{"alt":"Ilustración conceptual de tecnología, procesadores e información conectada.","asset_id":"newsverum-v1-technology","avif_variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.avif","width":480},{"height":480,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-720.avif","width":720},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.avif","width":960},{"height":800,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1200.avif","width":1200},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.avif","width":1536}],"credit":"Newsverum","documentary":false,"height":1024,"kind":"symbolic-editorial-illustration","language":"es","scope":"section","url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.webp","width":480},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.webp","width":960},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","width":1536}],"width":1536},"slug":"french-lab-publishes-benchmark-for-long-horizon-robot-agents","sources":[{"checkedAt":"2026-10-13","name":"arXiv preprint by LAAS-CNRS and Siléane researchers","publishedAt":"2026-10-09","url":"https://arxiv.org/pdf/2610.13534"}],"summary":"MAGMA-Bench evalúa agentes en tareas multi-robot simuladas con cambios de objetivos y fallos de ejecución.","text":"MAGMA-Bench evalúa agentes en tareas multi-robot simuladas con cambios de objetivos y fallos de ejecución.\n\nInvestigadores de LAAS-CNRS y de la empresa francesa Siléane presentaron MAGMA-Bench en un preprint del 9 de octubre. 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