Vega Connect Robota vadības saskarne — Xueyun Tang and Xiaomeng Tang

Darbs Vega Connect Robota vadības saskarne, kura autors ir Xueyun Tang and Xiaomeng Tang, ir augsti novērtēts un ļoti prestižās 2025 Sudraba balva A' Design Award ieguvējs kategorijā Viedās dzīves un mājas automatizācijas dizains.

SudrabaViedā dzīve· 2025

Vega Connect Robota vadības saskarne

Autors: Xueyun Tang and Xiaomeng Tang

Klients: Dexmate Inc.

Sudraba balva A' Design Award ieguvējs kategorijā Viedā dzīve

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Par Vega Connect Robota vadības saskarne

Vega Connect ir robota vadības saskarne, kas radīta mājas lietotājiem. Sistēma apvieno mobilo lietotni un tīmekļa portālu. Mobilā lietotne ļauj cilvēkiem pieprasīt mājsaimniecības uzdevumus ikdienas valodā, un katrs pieprasījums tiek pārvērsts precīzās robota darbībās, progresu attēlojot reāllaikā. Trīsdimensiju digitālais dvīnis attēlo robotu un tā apkārtni attālinātai uzraudzībai. Tīmekļa portāls ļauj izveidot pielāgotas rutīnas katrai mājai. Mērķis ir padarīt progresīvus robotus lietojamus bez tehniskas apmācības.

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Par Sudraba balva A' Design Award

Vega Connect Robota vadības saskarne ir Sudraba balvas A' Design Award ieguvējs, ārkārtīgi prestiža atzinība, ko piešķir augstākās klases, krāšņiem un iespaidīgiem dizainiem. Sudraba ieguvēji ir ārkārtīgi spožas un ļoti radošas izpausmes, kas parāda to dizaineru izcilo kompetenci, talantu un asredzību. Sagaidāms, ka Vega Connect Robota vadības saskarne būs lielisks, paraugdarbs, ļoti profesionāls un dziļi inovatīvs. Šis ar Sudraba balvu apbalvotais dizains ir ievērojams, apbrīnots izgudrojums, kas palīdz paplašināt mākslas, zinātnes, dizaina un tehnoloģiju robežas. Vega Connect Robota vadības saskarne ir radījums, kam daudzi apskauž, kas modina vēlmes, rada pozitīvas izjūtas un raisa izbrīnu un apbrīnu.

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Preses materiāli

Dizainera sniegtie autori, komandas dalībnieki un tehniskie dati.

Unikālās īpašības: 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.
Izmēri un iepakojums: 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.
Birkas: 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
Ražošanas tehnoloģija: 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.
Dizaina izaicinājums: 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.
Pētījums: 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.
Iedvesma: 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.
Projekta ilgums: 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.
Darbības plūsma: 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.
Patenti: Copyrights belong to Dexmate Inc., 2025
Komandas dalībnieki: Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen
Attēlu autori: Dexmate Inc.