Vega Connect Rhyngwyneb Rheoli Robot by Xueyun Tang and Xiaomeng Tang

Vega Connect Rhyngwyneb Rheoli Robot by Xueyun Tang and Xiaomeng Tang is a highly esteemed winner of the very prestigious 2025 Gwobr Arian A' Design Award in Byw Clyfar Competition Category.

ArianByw Clyfar· 2025

Vega Connect Rhyngwyneb Rheoli Robot

by Xueyun Tang and Xiaomeng Tang

Client: Dexmate Inc.

Gwobr Arian A' Design Award Winner in Byw Clyfar Category

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The Design

About Vega Connect Rhyngwyneb Rheoli Robot

Mae Vega Connect yn rhyngwyneb rheoli robot a ddyluniwyd ar gyfer defnyddwyr cartref. Mae'r system yn cyfuno ap symudol a phorth gwe. Mae'r ap symudol yn galluogi pobl i ofyn am dasgau cartref gan ddefnyddio iaith bob dydd, a chaiff pob cais ei drosi'n weithredoedd robotig manwl gywir gyda'r cynnydd yn cael ei ddangos mewn amser real. Mae efaill digidol tri dimensiwn yn arddangos y robot a'i amgylchedd ar gyfer monitro o bell. Mae'r porth gwe yn caniatáu creu trefnau wedi'u haddasu ar gyfer pob cartref. Y nod yw gwneud robotiaid uwch yn ddefnyddiadwy heb hyfforddiant technegol.

The Recognition

About the Gwobr Arian A' Design Award

Mae Vega Connect Rhyngwyneb Rheoli Robot yn enillydd Gwobr Arian A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau o'r radd uchaf, hardd a thrawiadol. Mae enillwyr Arian yn weithiau tra disglair a hynod greadigol sydd yn darlunio arbenigedd, dawn a chraffter rhagorol eu dylunwyr. Disgwylir i Vega Connect Rhyngwyneb Rheoli Robot fod yn waith gwych ac esiampl, yn nodedig o broffesiynol ac yn ddwfn arloesol. Mae'r dyluniad buddugol hwn o Wobr Arian A' Design Award yn ddyfais hynod nodedig a edmygir sydd yn elwa ac yn symud ymlaen ffiniau celf, gwyddoniaeth, dylunio a thechnoleg. Mae Vega Connect Rhyngwyneb Rheoli Robot yn greadigaeth y cenfigennir wrthi yn eang, sydd yn deffro dyheadau, yn cyflwyno teimladau cadarnhaol ac yn cynnau rhyfeddod a syndod.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 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
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Project Duration: 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.
Operation Flow: 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.
Patents: Copyrights belong to Dexmate Inc., 2025
Team Members: Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen
Image Credits: Dexmate Inc.