{"id":74912,"date":"2026-07-02T10:02:48","date_gmt":"2026-07-02T01:02:48","guid":{"rendered":"https:\/\/japanir.jp\/en\/ir\/5574-20260702-01_wp_business_update\/"},"modified":"2026-07-02T10:02:48","modified_gmt":"2026-07-02T01:02:48","slug":"5574-20260702-01_wp_business_update","status":"publish","type":"ir_release","link":"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/","title":{"rendered":"ABEJA joins Kawasaki Heavy Industries, Fanuc, FingerVision, Yaskawa Electric in the public-private collaboration for building a VTLA infrastructure model dataset funded by the Ministry of Economy, Trade and Industry and NEDO"},"content":{"rendered":"<p>ABEA announced participation with Kawasaki Heavy Industries, Fanuc, FingerVision, and Yaskawa Electric in a public project selected by the Ministry of Economy, Trade and Industry and NEDO to build a dataset for the VTLA-based model &#8216;Vision-Tactile-Language-Action&#8217; (period: August 2026 to July 2027).<\/p>\n","protected":false},"comment_status":"open","ping_status":"closed","template":"","meta":{"Ticker":"","DATE":"","longName":"","company_name_ja":"","fullTimeEmployees":0,"address":"","phone":"","website":"","industry":"","sector":"","regularMarketPrice":0,"financialCurrency":"","marketCap":0,"fiftyTwoWeekLow":0,"fiftyTwoWeekHigh":0,"epsTrailingTwelveMonths":0,"epsForward":0,"bookValue":0,"totalRevenue":0,"OperatingIncome":0,"operatingMargins":0,"NetIncome":0,"profitMargins":0,"ebitda":0,"trailingPE":0,"forwardPE":0,"priceToBook":0,"returnOnEquity":0,"recommendationMean":0,"recommendationKey":"","targetMeanPrice":0,"numberOfAnalystOpinions":0,"analyst_earnings_data":"","dividendRate":0,"dividendYield":0,"payoutRatio":0,"totalEsg":0,"environmentScore":0,"socialScore":0,"governanceScore":0,"title":"","providerPublishTime":"","link":"","longBusinessSummary":"","longBusinessSummary_ja":"","quarterly_revenue":0,"quarterly_net_income":0,"quarterly_operating_profit":0,"enterprise_value":0,"company_officer_1_name":"","company_officer_1_title":"","company_officer_2_name":"","company_officer_2_title":"","company_officer_3_name":"","company_officer_3_title":"","company_officer_4_name":"","company_officer_4_title":"","company_officer_5_name":"","company_officer_5_title":"","company_officers_update_time":"","get_dividend_history_year1":0,"get_dividend_history_year2":0,"get_dividend_history_year3":0,"get_dividend_history_year4":0,"get_dividend_history_year5":0,"get_dividend_history_year6":0,"get_dividend_history_year7":0,"get_dividend_history_year8":0,"get_dividend_history_year9":0,"get_dividend_history_year10":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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INC.","jir_importance":"\u2605\u2605\u2605\u2606\u2606","jir_publication_date":"2026-07-02","jir_source_link":"https:\/\/japanir.jp\/wp-content\/uploads\/2026\/07\/5574-20260702-01.pdf","jir_short_summary":"ABEA announced participation with Kawasaki Heavy Industries, Fanuc, FingerVision, and Yaskawa Electric in a public project selected by the Ministry of Economy, Trade and Industry and NEDO to build a dataset for the VTLA-based model 'Vision-Tactile-Language-Action' (period: August 2026 to July 2027).","jir_summary":"### Overview\nThis release announces ABEJA's participation in a new project conducted in collaboration with multiple companies and public institutions, aiming to develop a VTLA (Vision-Tactile-Language-Action) model through design, collection, accumulation, and utilization of datasets. Participating companies include leading players in manufacturing machinery and robotics, signaling an intention to advance high-level digitization through the integration of AI\/visual information with on-site data.\n\n### Outlook & Impact\nBecause the project is conducted with public funding and subsidies, the breadth of ABEJA's collaborations and technological capabilities could expand opportunities for implementing its platform. The period is August 2026 to July 2027, with expected outcomes including dataset design, collection, accumulation, and construction of a data ecosystem to promote digitalization of manufacturing sites.","jir_financial_highlights":"Sales: Unknown (Unknown)\nNet income: Unknown (Unknown)","jir_category":"","jir_hashtags":"#ABEJA, #VTLA, #Dataset, #Manufacturing","jir_key_figures":"Project period: August 2026 \u2013 July 2027\nPublic disclosure: listing of participating companies, purpose and scope of dataset construction\nPublic institution: Ministry of Economy, Trade and Industry and NEDO","jir_meta_title":"ABEJA: Participation in dataset construction project in collaboration with public institutions | August 2026 \u2013 July 2027","jir_meta_description":"ABEJA announces a joint project with Kawasaki Heavy Industries, Fanuc, FingerVision, and Yaskawa Electric to build a VTLA-based dataset for manufacturing-site vision-tactile-language-action data collection, selected by the Ministry of Economy, Trade and Industry and NEDO. Period: August 2026 to July 2027.","jir_og_title":"ABEJA collaborates with public institutions to construct VTLA dataset | August 2026 \u2013 July 2027","jir_og_description":"ABEJA participates in a dataset construction for manufacturing-site VTLA by collaborating with multiple companies, over the period August 2026 to July 2027.","jir_og_image_url":"\/assets\/og\/company-business_update.jpg","jir_chart_data_collection":"[]","ir_related_company":57471,"ir_release_date":"","ir_type":"","ir_is_new":false,"ir_document_url":"","jir_ir_type":"business_update","footnotes":""},"sector":[],"importance":[],"class_list":["post-74912","ir_release","type-ir_release","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ABEJA joins Kawasaki Heavy Industries, Fanuc, FingerVision, Yaskawa Electric in the public-private collaboration for building a VTLA infrastructure model dataset funded by the Ministry of Economy, Trade and Industry and NEDO - Japan IR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/\",\"url\":\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/\",\"name\":\"ABEJA joins Kawasaki Heavy Industries, Fanuc, FingerVision, Yaskawa Electric in the public-private collaboration for building a VTLA infrastructure model dataset funded by the Ministry of Economy, Trade and Industry and NEDO - Japan IR\",\"isPartOf\":{\"@id\":\"https:\/\/japanir.jp\/en\/#website\"},\"datePublished\":\"2026-07-02T01:02:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/japanir.jp\/en\/company\/company-5574\/ir\/5574-20260702-01_wp_business_update\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/japanir.jp\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"ABEJA joins Kawasaki Heavy Industries, Fanuc, FingerVision, Yaskawa Electric in the public-private collaboration for building a VTLA infrastructure model dataset funded by the Ministry of Economy, Trade and Industry and NEDO\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/japanir.jp\/en\/#website\",\"url\":\"https:\/\/japanir.jp\/en\/\",\"name\":\"Japan IR\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/japanir.jp\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ABEJA joins Kawasaki Heavy Industries, Fanuc, FingerVision, Yaskawa Electric in the public-private collaboration for building a VTLA infrastructure model dataset funded by the Ministry of Economy, Trade and Industry and NEDO - 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