Vega Connect Robotkontrollgrensesnitt av Xueyun Tang and Xiaomeng Tang

Designet Vega Connect Robotkontrollgrensesnitt av Xueyun Tang and Xiaomeng Tang er en høyt ansett vinner av den svært prestisjetunge 2025 A' Design Award i Sølv i konkurransekategorien Smart Bolig- og Hjemmeautomasjonsdesign.

SølvSmart bolig· 2025

Vega Connect Robotkontrollgrensesnitt

av Xueyun Tang and Xiaomeng Tang

Klient: Dexmate Inc.

Vinner av A' Design Award i Sølv i kategorien Smart bolig

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Designet

Om Vega Connect Robotkontrollgrensesnitt

Vega Connect er et robotkontrollgrensesnitt utviklet for hjemmebrukere. Systemet kombinerer en mobilapplikasjon og en nettportal. Mobilapplikasjonen lar folk be om husholdningsoppgaver med hverdagsspråk, og hver forespørsel oversettes til presise robothandlinger med fremdrift vist i sanntid. En tredimensjonal digital tvilling viser roboten og dens omgivelser for fjernovervåking. Nettportalen gjør det mulig å opprette tilpassede rutiner for hvert hjem. Målet er å gjøre avanserte roboter brukbare uten teknisk opplæring.

Anerkjennelsen

Om A' Design Award i Sølv

Vega Connect Robotkontrollgrensesnitt er vinner av A' Design Award i Sølv, en usedvanlig prestisjefylt anerkjennelse som tildeles design i toppklassen som er nydelige og imponerende. Sølvvinnere er enormt briljante og usedvanlig kreative verk som viser designernes enestående ekspertise, talent og skarpsindighet. Vega Connect Robotkontrollgrensesnitt forventes å være et praktfullt utstillingsverk som er bemerkelsesverdig profesjonelt og dypt nyskapende. Dette designet, som har vunnet A' Design Award i Sølv, er en svært bemerkelsesverdig, beundret oppfinnelse som gagner og flytter grensene for kunst, vitenskap, design og teknologi. Vega Connect Robotkontrollgrensesnitt er et skaperverk mange misunner, som vekker ønsker, gir positive følelser og vekker undring og forundring.

Bak designet

Pressepakke

Krediteringer, teammedlemmer og tekniske detaljer levert av designeren.

Unike Egenskaper: 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.
Dimensjoner og Emballasje: 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.
Stikkord: 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
Produksjonsteknologi: 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.
Designutfordring: 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.
Forskning: 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.
Inspirasjon: 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.
Prosjektvarighet: 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.
Driftsflyt: 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.
Patenter: Copyrights belong to Dexmate Inc., 2025
Teammedlemmer: Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen
Bildekreditering: Dexmate Inc.