Vega Connect Interaction System by Xueyun Tang and Xiaomeng Tang |
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| DESIGN NAME: Vega Connect PRIMARY FUNCTION: Interaction System 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. UNIQUE PROPERTIES / PROJECT DESCRIPTION: 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. OPERATION / FLOW / INTERACTION: 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"—elim PROJECT DURATION AND LOCATION: 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. |
PRODUCTION / REALIZATION 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. SPECIFICATIONS / TECHNICAL PROPERTIES: 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 RESEARCH ABSTRACT: 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. 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. ADDED DATE: 2025-03-14 03:00:09 TEAM MEMBERS (5) : Xueyun Tang, Xiaomeng Tang, Xi Pang, Yuzhe Qin and Tao Chen IMAGE CREDITS: Dexmate Inc. PATENTS/COPYRIGHTS: Copyrights belong to Dexmate Inc., 2025 |
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| Visit the following page to learn more: https://www.dexmate.ai/ | |||||
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NAME: Dexmate Inc. PROFILE: Headquartered in Santa Clara, California, Dexmate stands at the forefront of AI and robotics innovation. We specialize in developing mobile robots with unparalleled dexterity and adaptability, setting new industry standards for versatile automation. Our cutting-edge robots feature exceptional generalization capabilities, seamlessly transitioning between diverse tasks in both industrial environments and residential settings. By combining premium hardware engineering with sophisticated AI models, Dexmate delivers robotic solutions that address critical labor shortages while enhancing quality of life. Dexmate's mission extends beyond technology—we're creating intelligent companions that transform how people work and live. Our versatile platforms empower businesses to optimize operations and enable individuals to reclaim valuable time for what matters most. |
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