Tenniix ናይ ተኒስ ስልጠና ሮቦት by Cynthia Chen is a highly esteemed winner of the very prestigious 2026 ናይ ብሩር ሽልማት A' Design Award in ንድፊ ስፖርታዊ ኣቕሑ፣ ብቕዓት ኣካላትን መሳርሒ መዘናግዒን Competition Category.
ብሩርስፖርታዊ ኣቕሑ· 2026
Tenniix ናይ ተኒስ ስልጠና ሮቦት
by Cynthia Chen
Client: Tenniix
ናይ ብሩር ሽልማት A' Design Award Winner in ስፖርታዊ ኣቕሑ Category
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The Design
About Tenniix ናይ ተኒስ ስልጠና ሮቦት
ተኒክስ (Tenniix) ከም መሰልጠኒ መጻምድቲ ኮይኑ ንኽሰርሕ እተዳለወ ናይ ሰብ ሰርሖ ብልሓት (artificial intelligence) ናይ ተኒስ ሮቦት እዩ። ድርብ ስርዓተ ራእይ ንቦታ ተጻዋታይን ንመስመር ጉዕዞ ኩዕሶን ብቐጥታ ይከታተል። ተኒክስ ንኹዕሶታት ንምምላስን ቀጻሊ ምልውዋጥ ጸወታ (rallies) ንምፍጣርን ባዕሉ ብነጻ ይንቀሳቐስ። ፍጥነት ስልጠናን ኣገባባትን ብትእዛዛት ድምጺ ወይ ብመተግበሪ (application) ይምረጹ። ኣጠቓቕማኡ ቀሊል እዩ፦ እቲ ዝዕጸፍ ሸነኽ ይኽፈት፣ ኩዕሶታት ይጽዓኑ፣ ልምምድ ከኣ ይጅምር። እቲ ሮቦት 392 ብ 271 ብ 448 ሚሊሜተር ዝዓቐኑ እዩ። ዕላማኡ ንዅሎም ደረጃታት ዘለዎም ተጻወትቲ ዝማዕበለ ስልጠና ተበጻሒ ምግባር እዩ።
The Recognition
About the ናይ ብሩር ሽልማት A' Design Award
Tenniix ናይ ተኒስ ስልጠና ሮቦት ናይ ብሩር ሽልማት A' Design Award ዝዓወተ እዩ፣ ንጽቡቓት፣ ልዑላትን ዘስደምምን ላዕለዋይ ደረጃ ዘለዎም ዲዛይናት ዝወሃብ ብዘይተለምደ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ብሩር ፍሉይ ክእለት፣ ተውህቦን ጥበብን ዲዛይነራቶም ዘርእዩ ኣዚዮም ዘብርሁን ብዙሕ ፈጠራውያንን ስራሕቲ እዮም። Tenniix ናይ ተኒስ ስልጠና ሮቦት ዝበለጸ፣ ምሳሌ ዝኾነ፣ ብኣገዳሲ መገዲ ሞያውን ብዕምቆት ሓድሽን ስራሕ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ብሩር ሽልማት A' Design Award ብዙሕ ዝተራእየን ዝደነቐን ፈጠራ እዩ፣ ጥቕሚ ዘምጽእን ደረት ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዘስፍሕን። Tenniix ናይ ተኒስ ስልጠና ሮቦት ብብዙሕ ዝቐንኣሉ ፍጥረት እዩ፣ ድሌታት ዘበራብር፣ ጽቡቕ ስምዒታት ዘምጽእን ሰንቢድን ምድናቕን ዘበራብርን።
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Tenniix is an AI-powered tennis robot that combines artificial intelligence, voice control, and advanced robotics to act as an intelligent training partner. With a dual-vision AI system, it tracks player position and ball trajectory in real time, moves autonomously for realistic rallies, and delivers personalized, game-like training through continuous AI learning.
- Dimensions & Packaging
- 392*271*448mm
- Tags
- Tenniix, AI tennis robot, AI ball machine, tennis training, smart sports, solo tennis, tennis practice, sports technology, intelligent training, tennis innovation
- Production Technology
- Tenniix was realized through an integrated process combining mechanical engineering, embedded systems, and AI software development. The product utilizes precision-molded structural components, durable lightweight materials, and a modular hardware architecture. A dual-vision AI system, onboard processors, and motion control algorithms were developed through iterative prototyping and real-world testing, ensuring reliable performance, accurate tracking, and scalable production readiness.
- Design Challenge
- The main challenge was balancing advanced AI and robotics with simplicity and reliability for everyday users. Internally, the team needed to translate professional training standards into an intuitive experience. Externally, constraints such as hardware durability, production scalability, cost control, and real-time AI performance required continuous optimization. Overcoming these factors demanded close integration of design, engineering, and real-world testing.
- Research
- Type of Research: Applied design and user-centered research.
Research Objectives: To create an intelligent tennis training partner that improves realism and accessibility.
Methodology: Iterative prototyping combined with field testing.
Data Collection and Tools: Motion tracking, AI vision data, usage logs, and user feedback.
Participants/Experiments: Professional athletes, coaches, and amateur players.
Results: Improved training continuity and realism.
Insights and Impacts: The research bridges elite technology and everyday training, influencing sports product design and scalable business applications. - Inspiration
- The inspiration for Tenniix emerged from extensive experience in robotics engineering and AI vision, combined with close collaboration with professional athletes and elite teams. Observing the gap between high-level training technology and everyday practice, the project was driven by the goal of translating advanced AI, motion tracking, and data-driven analysis into an intelligent, accessible training partner for tennis players at all levels.
- Project Duration
- The project was officially initiated in October 2024 in Hong Kong, completed in September 2025 in Shenzhen, and subsequently exhibited at the CES exhibition in Las Vegas in January 2026.
- Operation Flow
- Tenniix is intuitive and easy to use. Users simply open the folding panel, load the tennis balls, and begin training. The device automatically follows the player’s position and returns shots intelligently to create continuous rallies. Training pace and modes can be adjusted via voice commands or the app, without the need for complex setup.
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