由設計師 Cynthia Chen 創作嘅 Tenniix 網球訓練機械人係備受推崇嘅 2026 A' Design Award 銀獎得獎作品，獲獎類別為運動用品設計。

銀運動用品· 2026

Tenniix 網球訓練機械人

由 Cynthia Chen

客戶: Tenniix

運動用品類別嘅 A' Design Award 銀獎得獎者

20,425

經驗證嘅獲獎者

驗證設計 #180414 嘅獲獎狀態

訪問網站喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Tenniix 網球訓練機械人

Tenniix 係一部人工智能網球機械人，專為擔任訓練夥伴而設計。雙重視覺系統實時追蹤球員位置同埋網球嘅飛行軌跡。Tenniix 可以自主移動去回球，並創造連續嘅對打練習。訓練節奏同模式可以透過語音指令或者應用程式揀選。操作非常簡單：打開摺疊面板，裝入網球，就可以開始練習。機械人尺寸為392乘271乘448毫米。目標係令唔同水平嘅球員都可以享用到高階訓練。

榮譽認可

關於A' Design Award 銀獎

Tenniix 網球訓練機械人是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Tenniix 網球訓練機械人將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Tenniix 網球訓練機械人是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: 392*271*448mm
標籤: Tenniix, AI tennis robot, AI ball machine, tennis training, smart sports, solo tennis, tennis practice, sports technology, intelligent training, tennis innovation
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: 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.
操作流程: 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.