{"id":27452,"date":"2025-01-21T10:54:01","date_gmt":"2025-01-21T02:54:01","guid":{"rendered":"https:\/\/www.1ai.net\/?p=27452"},"modified":"2025-01-21T10:54:01","modified_gmt":"2025-01-21T02:54:01","slug":"%e8%b7%a8%e7%bb%b4%e7%a7%91%e6%8a%80%e5%8f%91%e5%b8%83-dexforce-w1-%e5%85%b7%e8%ba%ab%e6%9c%ba%e5%99%a8%e4%ba%ba%ef%bc%9a34-%e4%b8%aa%e5%8a%a8%e5%8a%9b%e5%8d%95%e5%85%83%ef%bc%8c%e5%8f%af%e6%84%9f","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/27452.html","title":{"rendered":"Transdimensional Technology Launches DexForce W1 Body Robot: 34 Power Cells for Real-World Sensing"},"content":{"rendered":"

The official public website of Trans-dimensional Intelligence announced on January 20 that DexForce W1, the \"industry's first\" humanoid robot based on the Sim2Real Body Intelligence Engine, has recently been officially released. DexForce W1 is highly modeled afterHuman structure with<\/strong>\u00a034\u00a0A power unit that can do<\/strong>To a high degree of flexibility and multi-scene versatility; equipped with cross-dimensional pure visual spatial intelligence sensors, which can achieve real-time sensing and precise control.<\/p>\n

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Based on Sim2Real's core technology, the trans-dimensional DexVerse Body Intelligence Engine models every detail, from light refraction, to object friction coefficients, to rigid body\/fluid changes. The environment can be customized as a \"training ground\" or \"evolutionary field\" for the robot. After the data is generated, the DexVerse engine can quickly adjust and optimize the model using the massive data and simulation results.<\/p>\n

W1 is equipped with Trans-dimensional Intelligent Pure Vision Spatial Intelligence Sensor, which adopts the modularized design of multi-image sensors, together with Trans-dimensional self-developed algorithms to cope with a variety of complex environmental lighting, such asDirect light, shaded area, low light<\/strong>and other environments. It uses deep learning and other technologies to learn and model the characteristics of objects under different lighting conditions, so as to more accurately identify target objects. Officially, the W1's \"pure vision humanoid eyes\" give it the ability to perceive the real world.<\/p>\n

Under complex lighting, the algorithm is able to more accurately calculate the 3D position and shape of objects by modeling light propagation and reflection, helping W1 better understand the spatial structure of its surroundings.<\/p>\n

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According to reports, the W1 is equipped with 34 advanced power units, each with up to 100Mbps of communication bandwidth, so that the power units can be real-time, smooth exchange of information, to achieve a near-synchronized coordinated response, instructions and execution of a seamless connection.<\/p>\n

It is equipped with a 7-degree-of-freedom humanoid robotic arm with a maximum load capacity of 10KG per arm, and a 6-degree-of-freedom dexterous hand, which achieves a high degree of precision in force control.\u00a020mA\u00a0<\/strong>Level.<\/p>","protected":false},"excerpt":{"rendered":"

The official public number of Trans-dimensional Intelligence announced on January 20 that DexForce W1, the \"industry's first\" humanoid robot based on the Sim2Real Body Intelligence Engine, has recently been officially released. DexForce W1 adopts a highly humanoid structure with 34 power units, which is highly flexible and versatile in multiple scenarios; it is equipped with Trans-Dimensional pure visual spatial intelligence sensors, which can realize real-time sensing and precise control. Based on the core technology of Sim2Real, the Trans-Dimensional DexVerse body intelligence engine can model every detail from light refraction, friction coefficients of objects to rigid body\/fluid changes. The environment can be customized as a \"training ground\" or \"evolutionary field\" for the robot. After the data is generated, the DexVerse engine can utilize the sea of<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[5602,5601],"collection":[],"class_list":["post-27452","post","type-post","status-publish","format-standard","hentry","category-news","tag-5602","tag-5601"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/27452","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=27452"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/27452\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=27452"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=27452"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=27452"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=27452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}