Vega Connect Robotstyringsinterface af Xueyun Tang and Xiaomeng Tang er en højt anset vinder af den meget prestigefyldte 2025 A' Design Award i Sølv i konkurrencekategorien Smart Bolig og Hjemmeautomatisering Design.
SølvSmart Bolig· 2025
Vega Connect Robotstyringsinterface
af Xueyun Tang and Xiaomeng Tang
Klient: Dexmate Inc.
Vinder af A' Design Award i Sølv i kategorien Smart Bolig
Verificeret Prisvinder
Verificer Prisstatus for #171910Designet
Om Vega Connect Robotstyringsinterface
Vega Connect er et robotstyringsinterface designet til private brugere. Systemet kombinerer en mobilapplikation og en webportal. Mobilapplikationen lader folk anmode om husholdningsopgaver med hverdagssprog, og hver anmodning oversættes til præcise robothandlinger med fremdrift vist i realtid. En tredimensionel digital tvilling viser robotten og dens omgivelser til fjernovervågning. Webportalen gør det muligt at oprette tilpassede rutiner for hvert hjem. Målet er at gøre avancerede robotter anvendelige uden teknisk uddannelse.
Anerkendelsen
Om A' Design Award i Sølv
Vega Connect Robotstyringsinterface er vinder af A' Design Award i Sølv, en usædvanligt prestigefyldt anerkendelse, der tildeles designs i topklasse, som er pragtfulde og imponerende. Sølvvinderne er enormt geniale og overordentlig kreative værker, der illustrerer deres designeres fremragende ekspertise, talent og skarpsindighed. Vega Connect Robotstyringsinterface forventes at være et vidunderligt udstillingsværk, der er bemærkelsesværdigt professionelt og dybt innovativt. Dette design, der har vundet A' Design Award i Sølv, er en højst bemærkelsesværdig, beundret opfindelse, som gavner og flytter grænserne for kunst, videnskab, design og teknologi. Vega Connect Robotstyringsinterface er en skabelse, som mange misunder, og som vækker begær, bringer positive følelser og antænder forundring og undren.
Bag Designet
Pressemappe
Credits, teammedlemmer og tekniske detaljer leveret af designeren.
- Unikke Egenskaber
- 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.
- Dimensioner & Emballage
- 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.
- Tags
- 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
- Produktionsteknologi
- 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.
- Designudfordring
- 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.
- Inspiration
- 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.
- Projektvarighed
- 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.
- Driftsflow
- 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 - Billedkreditering
- Dexmate Inc.
Sponsoreret
Udforsk Udover Designers.org
Opdag produkter, tjenester og muligheder fra vores annoncepartnere.
Mere at Udforske
Relaterede Design
Udforsk flere prisvindende design fra samme kategori, udvalgt efter fortjeneste.
