Tenniix Aṛubu n Uselmed n Tennis sɣur Cynthia Chen

Tenniix Aṛubu n Uselmed n Tennis sɣur Cynthia Chen d anerbaz yettwaqadren meqqren n 2026 Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Tnaflit n Afeṣṣel n Ifecka n Waddal, Tawant d Unezwi.

LfeṭṭaIfecka n Waddal· 2026

Tenniix Aṛubu n Uselmed n Tennis

sɣur Cynthia Chen

Amsaɣ: Tenniix

Anerbaz n Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Ifecka n Waddal

20,425

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #180414

Rzu ɣer usmel Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Tenniix Aṛubu n Uselmed n Tennis

Tenniix d aṛubu n tennis s tigzi tumḍint yettwaxedmen akken ad yili d amdakkel n uselmed. Anagraw n yisin n twali yettḍafar amkan n umuraṛ d ubrid n takurt srid deg wakud. Tenniix yettembbiwil s yiman-is akken ad yerr tiyita yerna ad yesnulfu tiyitiwin ur nḥebbes. Arured n uselmed d wallalen ttwafernen s tiɣri n taɣect neɣ s usnas. Aseqdec-is fessus: yettwaldi ugalis yettwaknafen, ttwaɛemmṛent tkurin, dɣa yebda uselmed. Aṛubu yesɛa lqedd n 392 ɣef 271 ɣef 448 n yimilimitren. Iswi d asishel n uselmed anaflay i yimuraṛen n yal aswir.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lfeṭṭa

Tenniix Aṛubu n Uselmed n Tennis d amerbaḥ n Tarbaḥt A' Design Award n Lfeṭṭa, tagmat ɛlayen i yisnulfa yelhan, yeḥlan s waṭas. Imerbaḥen n Lfeṭṭa d isnulfa yelhan akk, yesɛan tmusni d tazmert. Tenniix Aṛubu n Uselmed n Tennis ad yili d asnulfu amaynut, yelhan, ad yeǧǧ ddunit tennuɣ.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: 392*271*448mm
Tibzimin: Tenniix, AI tennis robot, AI ball machine, tennis training, smart sports, solo tennis, tennis practice, sports technology, intelligent training, tennis innovation
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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.
Tanzagt n Usenfar: 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.
Tanila n Umahil: 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.