Vega Connect Fuskar Sarrafa Robot daga Xueyun Tang and Xiaomeng Tang

Zane Vega Connect Fuskar Sarrafa Robot daga Xueyun Tang and Xiaomeng Tang mai nasara ne mai daraja sosai na 2025 Kyautar A' Design Award ta Azurfa a Rukunin Gasar Rayuwa Mai Wayo.

AzurfaRayuwa Mai Wayo· 2025

Vega Connect Fuskar Sarrafa Robot

daga Xueyun Tang and Xiaomeng Tang

Abokin Ciniki: Dexmate Inc.

Mai Nasarar Kyautar A' Design Award ta Azurfa a Rukunin Rayuwa Mai Wayo

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Tabbatar da Matsayin Kyauta na #171910

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Launuka

Ƙirar

Game da Vega Connect Fuskar Sarrafa Robot

Vega Connect fuskar sarrafa robot ce da aka tsara don masu amfani a gida. Tsarin ya haɗa manhajar wayar hannu da tashar yanar gizo. Manhajar wayar hannu tana bai wa mutane damar neman ayyukan gida da harshen yau da kullum, kuma ana fassara kowanne buƙata zuwa takamaiman ayyukan robot tare da nuna ci gaba a ainihin lokaci. Tagwayen dijital mai fuska uku yana nuna robot ɗin da kewayensa don sa ido daga nesa. Tashar yanar gizo tana ba da damar ƙirƙirar ayyukan yau da kullum na musamman ga kowane gida. Manufar ita ce a sa robobi masu zamani su zama masu amfani ba tare da horon fasaha ba.

Amincewa

Game da Kyautar A' Design Award ta Azurfa

Zanen Vega Connect Fuskar Sarrafa Robot ya lashe Kyautar A' Design Award ta Azurfa, wata karramawa mai tsananin daraja da ake bai wa zane-zane na matakin koli, masu kyau sosai kuma masu burgewa. Waɗanda suka lashe kyautar Azurfa ayyuka ne masu haske sosai da ƙirƙira mai yawa waɗanda ke nuna ƙwarewa, baiwa da kaifin tunanin masu zanensu. Ana sa ran zanen Vega Connect Fuskar Sarrafa Robot ya zama aiki mai ban mamaki, abin koyi, mai ƙwarewa sosai kuma mai ƙirƙire-ƙirƙire mai zurfi. Wannan zane da ya lashe Kyautar A' Design Award ta Azurfa ƙirƙira ce mai abin lura sosai, da ake sha'awa, wacce ke amfanar da kuma kai iyakokin fasaha, kimiyya, zane da fasahar zamani gaba. Zanen Vega Connect Fuskar Sarrafa Robot ƙirƙira ce da ake yi wa hassada sosai wacce ke tada sha'awa, tana kawo jin daɗi kuma tana haifar da mamaki da al'ajabi.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: Vega Connect redefines human-robot interaction through its pioneering dual-interface system that bridges advanced robotics with an intuitive user experience. Unlike conventional systems requiring technical expertise, our solution transforms complex robotic programming into natural interactions accessible to all users regardless of technical background. The mobile interface enables effortless task delegation through conversational commands, while the complementary web portal offers sophisticated customization capabilities. This architecture represents a paradigm shift in robotics—creating technology that adapts to human communication patterns rather than forcing users to adapt to machines, thereby democratizing access to revolutionary capabilities previously reserved for specialists.
Girma da Fakitin: The Vega Connect system integrates multimodal interaction capabilities enabling humans to control robots via natural language, hand gestures, and facial expressions through advanced LLM/VLM models. The 3D digital twin technology provides immersive visualization of robot operations and surroundings, facilitating seamless remote monitoring and control across unlimited distances. The middleware abstracts complex robotics commands into intuitive interactions, allowing users to automate routine tasks through conversational interfaces and scheduling functionality.
Kalmomin Alama: Human-robot interaction, robot interaction system, home robot interface, AI-driven automation, personal robotics, dual-interface system, intuitive robot control, natural language interaction, general-purpose robot
Fasahar Samarwa: Vega Connect bridges the gap in robotics: industrial robots need expertise, while consumer robots are single-purpose. As AI general-purpose robots tackle diverse tasks, seamless human-robot interaction is essential. Dexmate team has developed a multimodal interaction framework utilizing natural language processing, gesture recognition, and intuitive web interfaces. The system employs real-time 3D visualization with digital twin technology, implementing semantic mapping between human commands and robotic execution paths.
Ƙalubalen Zane: The fundamental challenge was reconceptualizing robot interaction for non-technical users while maintaining advanced functionality. Historically, robotics interfaces prioritized engineering precision over usability, creating significant adoption barriers. Our team struggled to develop a system that satisfied both the accessibility needs of everyday users and the precision requirements of complex robotic operations. The breakthrough came through extensive user testing revealing distinct interaction patterns across demographics, leading to our dual-interface architecture. Technical obstacles included developing reliable natural language processing for household contexts and creating abstraction layers that translated simple commands into complex motion sequences while maintaining safety parameters.
Bincike: Our user-centered research combined ethnographic observation and usability testing with 35 households across three generations. We identified critical barriers in robotics adoption through 250+ hours of in-home studies using eye-tracking and think-aloud protocols. Testing revealed traditional interfaces achieved only 27% task completion rates versus 89% with natural language commands. This directly shaped Vega Connect's dual-interface approach, adapting to human behavior rather than forcing humans to adapt to technology.
Wahayi: The Vega Connect project addresses a fundamental disparity in robotics: while AI-powered robots grow increasingly capable, their interfaces remain engineered for specialists rather than everyday users. Recognizing that these advanced robots will soon enter domestic settings, Dexmate developed an intuitive interaction system that bridges this accessibility gap. Our solution enables non-technical users to communicate naturally with sophisticated robotic systems, democratizing access to this transformative technology.
Tsawon Lokacin Aikin: The Vega Connect robot-control interactive system design and its user testing began in November 2024 in California, USA, and concluded in March 2025. Technical implementation for both web and mobile platforms commenced in January 2025 and is currently ongoing in preparation for a wide market release.
Tsarin Aiki: Vega Connect transforms robot control from complex programming to natural conversation. Users simply open the mobile app and request tasks using everyday language or intuitive taps—"clean the kitchen" or "fold laundry"—eliminating technical barriers. The system translates these simple requests into precise robotic actions while providing real-time progress updates. For personalization, the complementary web portal allows users to easily create custom routines specific to their home environment. This dual approach delivers superior results by adapting to human communication patterns rather than forcing users to learn technical commands, making advanced robotics accessible to everyone regardless of technical expertise.
Haƙƙoƙin Ƙirƙira: Copyrights belong to Dexmate Inc., 2025
Mambobin Ƙungiya: Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen
Godiyar Hotuna: Dexmate Inc.