دیزاینی Vega Connect Navenda Kontrolkirina Robotê لەلایەن Xueyun Tang and Xiaomeng Tang خەڵاتگرێکی بەناوبانگی خەڵاتی شکۆمەندی 2025 Xelata A' Design Award a Zîvîn لە پۆلی پێشبڕکێی Dîzayna Jiyana Biaqil û Otomasyona Malê.
ZîvJiyana Biaqil· 2025
Vega Connect Navenda Kontrolkirina Robotê
لەلایەن Xueyun Tang and Xiaomeng Tang
کڕیار: Dexmate Inc.
خەڵاتگری Xelata A' Design Award a Zîvîn لە پۆلی Jiyana Biaqil
خەڵاتگری پشتڕاستکراو
پشتڕاستکردنەوەی باری خەڵات بۆ #171910دیزاینەکە
دەربارەی Vega Connect Navenda Kontrolkirina Robotê
Vega Connect navendeke kontrolkirina robotê ye ku ji bo bikarhênerên malê hatiye sêwirandin. Ev pergal sepaneke mobîl û portaleke webê digihîne hev. Sepana mobîl rê dide mirovan ku bi zimanê rojane karên malê bixwazin, û her daxwazek li çalakiyên rast û pêbawer ên robotîk tê wergerandin û pêşketin bi awayekî demê rast tê nîşandan. Cêwiyeke dîjîtal a sê-alî robot û derdora wê ji bo çavdêriya ji dûr ve nîşan dide. Portala webê rê dide ku ji bo her malekê rûtînên taybet bên afirandin. Armanc ew e ku robotên pêşketî bêyî perwerdehiya teknîkî bikarhênerbar bin.
پێناسەکردن
دەربارەی Xelata A' Design Award a Zîvîn
Vega Connect Navenda Kontrolkirina Robotê xelatgirê Xelata A' Design Award a Zîvîn e, nasîneke bi awayekî awarte bi prestîj ku ji sêwiranên di asta herî bilind de, xweşik û bibandor re tê dayîn. Xelatgirên Zîvînê karên pir birûsk û pir afirîner in, yên ku pisporiya hêja, jêhatîbûn û zîrekiya sêwiranerên xwe nîşan didin. Tê hêvîkirin ku Vega Connect Navenda Kontrolkirina Robotê karekî mînak, pir pîşekar û bi kûrahî nûjen be. Ev sêwirana bi Zîvînê serketî vedîtineke berbiçav û hatiye sitayişkirin e ku ji bo fireh kirina sînorên huner, zanist, sêwiran û teknolojiyê tevkarî dike. Vega Connect Navenda Kontrolkirina Robotê afirandinek e ku gelek kes çavê xwe lê dikin, daxwazan şiyar dike, hestên erênî tîne û heyirînê çêdike.
لە پشت دیزاینەوە
کیتی چاپەمەنی
باوەڕپێکراوەکان، ئەندامانی تیم و وردەکاری تەکنیکی کە لەلایەن دیزاینەرەوە پێشکەش کراون.
- تایبەتمەندییە تایبەتەکان
- 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.
- قەبارە و پاکێج
- 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.
- تاگەکان
- 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
- تەکنەلۆژیای بەرهەمهێنان
- 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.
- هەڵەنگاندنی دیزاین
- 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.
- توێژینەوە
- 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.
- ئیلهام
- 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.
- ماوەی پڕۆژە
- 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.
- ڕێڕەوی کارکردن
- 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.
- پەتێنتەکان
- Copyrights belong to Dexmate Inc., 2025
- ئەندامانی تیم
- Xueyun Tang
Xiaomeng Tang
Xi Pang
Yuzhe Qin
Tao Chen - کرێدیتی وێنەکان
- Dexmate Inc.
سپۆنسەرکراو
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