2025 | Professional

MUSE Design Awards Gold Winner

SugarCube AI Creative Kit

Entrant

BEIJING YUANLI SCIENCE AND TECHNOLOGY CO., LTD.

Category

Product Design - Baby, Kids & Children Products

Client's Name

-

Country / Region

China

About The Entry

The SugarCube AI Creative Kit, an AI-driven programming assistant tailored for preschoolers, includes an intelligent main control "SugarCube", drive devices, high-performance transceivers, and various precision sensors and actuators. It combines hardware programming with structural building, allowing children to learn both hardware knowledge and coding skills through hands-on play. The kit introduces a range of sensors - pressure, temperature and humidity, touch, infrared, light, and sound - alongside actuators like RGB LEDs, LED strips, dot-matrix screens, and encoders. These features expand children's creativity and sensory experiences, enabling them to apply programming concepts to real-world issues, such as environmental monitoring and smart home control. This life-centered learning platform broadens their understanding and imagination for future technology.

The SugarCube AI Creative Kit is designed with a delicate appearance reflecting children's visual and cognitive needs: The intelligent main control "SugarCube" and drive devices are inviting by rounded edges and a cute, friendly style, while each module uses vibrant, high-saturation colors and is designed with shapes closely related to their functions. This design approach ensures quick, intuitive identification and memory, enhancing engagement for early learners.

The main controller communicates with input and output devices wirelessly via Bluetooth or NFC tap-to-connect. Modules connect magnetically without cables, which not only ensures stability and ease of assembly but also is suitable for the fine motor skills of young children. The SugarCube AI Creative Kit supports both programming and dialogue modes to answer questions and increase engagement in learning. Through this playful approach, kids grow while learning, setting a strong foundation for a future in technology.

Featured Media

Credits

Li Yi
Gu Quan
Yang Lijun
Sun Hao
Xue Runnan
Yang Yiping
Pang Zunying
Jin Dun
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