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Vega Connect Roboter-Steierungsinterface vum Xueyun Tang and Xiaomeng Tang

D'Wierk Vega Connect Roboter-Steierungsinterface vum Designer Xueyun Tang and Xiaomeng Tang ass en héich geschätzten Gewënner vum prestigiéisen 2025 A' Design Award an Sëlwer an der Wettbewerbskategorie Smart Wunnen an Heemautomatiséierung Design.


SëlwerSmart Wunnen· 2025

Vega Connect Roboter-Steierungsinterface

vum Xueyun Tang and Xiaomeng Tang

Client: Dexmate Inc.

A' Design Award an Sëlwer Gewënner an der Kategorie Smart Wunnen

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Den Design

Iwwer Vega Connect Roboter-Steierungsinterface

Vega Connect ass e Roboter-Steierungsinterface fir Heemnotzer entwéckelt. De System kombinéiert eng mobil Applikatioun an e Webportal. D'mobil Applikatioun erlaabt et de Leit, Aufgaben am Stot mat alldeeglecher Sprooch unzefroen, an all Ufro gëtt a präzis Roboteraktiounen iwwersat, mam Fortschrëtt an Echtzäit ugewisen. En dreidimensionalen digitalen Zwilling weist de Roboter a seng Ëmgéigend fir eng Fernüberwaachung. De Webportal erlaabt et, personaliséiert Routinnen fir all Heem ze erstellen. D'Zil ass et, fortgeschratt Roboteren ouni technesch Ausbildung notzbar ze maachen.

D'Unerkennung

Iwwer den A' Design Award an Sëlwer

Vega Connect Roboter-Steierungsinterface ass e Gewënner vum A' Design Award an Sëlwer, enger aussergewéinlech prestigiéiser Unerkennung, déi un Designe vun der héchster Qualitéit, prächteg a beandrockend vergi gëtt. Sëlwer-Gewënner si bemierkenswäert brillant a ganz kreativ Wierker, déi d'erausragend Expertise, d'Talent an d'Schaarfsënnegkeet vun hire Designer weisen. Et gëtt erwaart, datt Vega Connect Roboter-Steierungsinterface e wonnerbart, mustergëlteg, bemierkenswäert professionellt an déif innovatiivt Wierk ass. Dëst mam Sëlwer ausgezeechent Design ass eng bemierkenswäert, bewonnert Erfindung, déi dozou bäidréit, d'Grenze vun der Konscht, der Wëssenschaft, vum Design an der Technologie ze erweideren. Vega Connect Roboter-Steierungsinterface ass eng Kreatioun, op déi vill neidesch sinn, déi Wënsch erweckt, positiv Gefiller bréngt an Erstaunen a Wonner erweckt.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften
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.
Dimensiounen & Verpackung
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
Produktiounstechnologie
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 Erausfuerderung
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.
Fuerschung
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.
Inspiratioun
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.
Projetdauer
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.
Operatiounsablaf
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.
Patenten
Copyrights belong to Dexmate Inc., 2025
Teammemberen
Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen
Bildnoweis
Dexmate Inc.

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