Hisense Reimagines Domestic Space Through Modularity and Ergonomic Intelligence at CES 2026 - Yanko Design
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Hisense Reimagines Domestic Space Through Modularity and Ergonomic Intelligence at CES 2026 - Yanko Design
"What unifies the products is methodology: each addresses a specific behavioral friction point rather than adding features to existing forms. A dehumidifier repositions its tank to eliminate bending. A laundry system provides parallel processing for incompatible fabric types. A refrigeration line achieves visual coherence across separately purchased units. These are reconceptions, not refinements. Machine intelligence operates autonomously rather than demanding constant user input."
"Five AI agents. Air. Cooking. Laundry. Energy. Support. Each monitors a domain and acts without waiting for commands. The system design reflects a philosophical shift: reactive control gives way to anticipatory automation. The air agent illustrates the approach. Paired with third-party motion and air quality sensors, it adjusts climate based on occupancy and particulate levels rather than thermostat schedules. Empty room detected: cooling reduces. Elevated particles registered: ventilation increases. No user input required. The system anticipates discomfort before it registers."
Hisense rethinks home appliances through modular structures and behavior-driven solutions across kitchen, laundry, and climate control. Products focus on eliminating user friction—repositioning dehumidifier tanks to avoid bending, enabling parallel laundry processing for incompatible fabrics, and offering refrigeration units that visually align when purchased separately. A distributed AI framework named Connect Life deploys domain agents for air, cooking, laundry, energy, and support that monitor conditions and act autonomously. Agents anticipate needs by using occupancy and air-quality sensors, coordinate cooking timelines between stovetop and oven, and manage systems without constant user commands. Ergonomic maintenance and adaptable configurations replace incremental feature additions.
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