Tenniix የቴኒስ ስልጠና ሮቦት by Cynthia Chen is a highly esteemed winner of the very prestigious 2026 A' Design Award የብር ሽልማት in የስፖርት ዕቃዎች፣ የአካል ብቃት እና የመዝናኛ መሣሪያዎች ዲዛይን Competition Category.

ብርየስፖርት ዕቃዎች· 2026

Tenniix የቴኒስ ስልጠና ሮቦት

by Cynthia Chen

Client: Tenniix

A' Design Award የብር ሽልማት Winner in የስፖርት ዕቃዎች Category

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The Design

About Tenniix የቴኒስ ስልጠና ሮቦት

ቴኒክስ (Tenniix) የስልጠና አጋር ሆኖ እንዲያገለግል የተነደፈ ሰው ሰራሽ የማሰብ ችሎታ ያለው የቴኒስ ሮቦት ነው። ባለሁለት እይታ ስርዓት የተጫዋቹን ቦታ እና የኳሱን አቅጣጫ በቅጽበት ይከታተላል። ቴኒክስ ምቶችን ለመመለስ እና ተከታታይ ልውውጦችን ለመፍጠር በራሱ ይንቀሳቀሳል። የስልጠና ፍጥነት እና ሁነታዎች በድምጽ ትዕዛዞች ወይም በመተግበሪያ አማካኝነት ይመረጣሉ። አጠቃቀሙ ቀላል ነው፦ ተጣጣፊው ፓነል ይከፈታል፣ ኳሶቹ ይጫናሉ፣ እና ልምምዱ ይጀምራል። ሮቦቱ 392 በ271 በ448 ሚሊሜትር ይለካል። ዓላማው የላቀ ስልጠናን በሁሉም ደረጃ ላሉ ተጫዋቾች ተደራሽ ማድረግ ነው።

The Recognition

About the A' Design Award የብር ሽልማት

Tenniix የቴኒስ ስልጠና ሮቦት የA' Design Award የብር ሽልማት አሸናፊ ነው፤ ይህም ለምርጥ ደረጃ፣ ውብ እና አስደናቂ ዲዛይኖች የሚሰጥ ያልተለመደ ከፍተኛ ክብር ያለው እውቅና ነው። የብር አሸናፊዎች የዲዛይነሮቻቸውን የላቀ ልምድ፣ ተሰጥኦ እና ጥልቅ ማስተዋል የሚያሳዩ እጅግ ብሩህ እና እጅግ ፈጠራ የተሞላባቸው ሥራዎች ናቸው። Tenniix የቴኒስ ስልጠና ሮቦት እጅግ ሙያዊና ጥልቅ ፈጠራ የተሞላበት አስደናቂ ማሳያ ሥራ እንደሚሆን ይጠበቃል። ይህ የA' Design Award የብር ሽልማትን ያሸነፈ ዲዛይን የኪነ ጥበብ፣ የሳይንስ፣ የዲዛይን እና የቴክኖሎጂ ድንበሮችን የሚጠቅምና የሚያስፋፋ ትኩረት የሚስብ፣ የሚደነቅ ፈጠራ ነው። Tenniix የቴኒስ ስልጠና ሮቦት ፍላጎትን የሚቀሰቅስ፣ በጎ ስሜት የሚያመጣ እና መደነቅንና መገረምን የሚያቀጣጥል በብዙዎች የሚቀኑበት ፈጠራ ነው።

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.