Cynthia Chen ᱨᱮᱱᱟᱜ Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ

Cynthia Chen ᱨᱮᱱᱟᱜ Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ ᱫᱚ ᱠᱷᱮᱞ ᱥᱟᱢᱟᱱ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱨᱩᱯᱟᱠᱷᱮᱞ ᱥᱟᱢᱟᱱ· 2026

Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ

Cynthia Chen ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Tenniix

ᱠᱷᱮᱞ ᱥᱟᱢᱟᱱ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱴᱮᱱᱤᱠᱥ (Tenniix) ᱫᱚ ᱢᱤᱛ ᱛᱮᱭᱟᱨᱟᱜ ᱥᱮᱬᱟ (ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ) ᱴᱮᱱᱤᱥ ᱨᱚᱵᱚᱴ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱫᱚ ᱛᱟᱹᱞᱤᱢ ᱜᱟᱛᱮ ᱞᱮᱠᱟ ᱠᱟᱹᱢᱤ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨᱟᱠᱟᱱᱟ᱾ ᱵᱟᱨᱭᱟ ᱧᱮᱞ ᱥᱤᱥᱴᱮᱢ ᱥᱟᱛ ᱚᱠᱛᱮ ᱨᱮ ᱠᱷᱮᱞᱚᱸᱰᱤᱭᱟᱹ ᱨᱮᱭᱟᱜ ᱡᱟᱭᱜᱟ ᱟᱨ ᱵᱚᱞ ᱨᱮᱭᱟᱜ ᱥᱮᱱᱚᱜ ᱦᱚᱨ ᱯᱟᱸᱡᱟᱭᱟ᱾ ᱴᱮᱱᱤᱠᱥ ᱟᱡ ᱛᱮᱜᱮ ᱪᱟᱞᱟᱜ ᱠᱟᱱᱟ ᱥᱚᱴ ᱨᱩᱭᱟᱹᱲ ᱞᱟᱹᱜᱤᱫ ᱟᱨ ᱞᱟᱜᱟᱞᱟᱜᱤ ᱨᱮᱞᱤ ᱵᱮᱱᱟᱣ ᱞᱟᱹᱜᱤᱫ᱾ ᱛᱟᱹᱞᱤᱢ ᱨᱮᱭᱟᱜ ᱜᱚᱛᱤ ᱟᱨ ᱫᱷᱟᱹᱨᱛᱤ ᱫᱚ ᱟᱲᱟᱝ ᱦᱩᱠᱩᱢ ᱥᱮ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱦᱚᱛᱮᱛᱮ ᱵᱟᱪᱷᱟᱣᱜᱼᱟ᱾ ᱵᱮᱵᱷᱟᱨ ᱫᱚ ᱟᱹᱰᱤ ᱟᱞᱜᱟ ᱜᱮᱭᱟ: ᱵᱷᱟᱸᱡᱟᱣ ᱯᱮᱱᱮᱞ ᱡᱷᱤᱡᱚᱜᱼᱟ, ᱵᱚᱞ ᱠᱚ ᱞᱟᱫᱮᱭᱟ, ᱟᱨ ᱟᱵᱷᱭᱟᱥ ᱮᱦᱚᱵᱚᱜᱼᱟ᱾ ᱨᱚᱵᱚᱴ ᱨᱮᱭᱟᱜ ᱢᱟᱯ ᱫᱚ ᱓᱙᱒ ᱜᱩᱱᱩᱱ ᱒᱗᱑ ᱜᱩᱱᱩᱱ ᱔᱔᱘ ᱢᱤᱞᱤᱢᱤᱴᱚᱨ ᱠᱟᱱᱟ᱾ ᱱᱚᱣᱟ ᱨᱮᱭᱟᱜ ᱩᱫᱮᱥ ᱫᱚ ᱡᱚᱛᱚ ᱛᱷᱚᱠ ᱠᱷᱮᱞᱚᱸᱰᱤᱭᱟᱹ ᱠᱚ ᱴᱷᱮᱱ ᱞᱟᱦᱟᱛᱮᱱ ᱛᱟᱹᱞᱤᱢ ᱥᱮᱴᱮᱨ ᱚᱪᱚᱭ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Tenniix ᱴᱮᱱᱤᱥ ᱛᱟᱹᱞᱤᱢ ᱨᱚᱵᱚᱴ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: 392*271*448mm
ᱴᱮᱜ ᱠᱚ: Tenniix, AI tennis robot, AI ball machine, tennis training, smart sports, solo tennis, tennis practice, sports technology, intelligent training, tennis innovation
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: 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.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: 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.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.