银 体育用品 · 2026
Tenniix 网球训练机器人
by Cynthia Chen
- A' Design Award 银奖 2026 in 体育用品
- CLIENT: Tenniix
- Estimated Number of Design Views: 18,877
- Verification code 033A9EB75C · Verify this award
Colors
About Tenniix 网球训练机器人
Tenniix 是一款人工智能网球机器人，旨在充当训练伙伴。双目视觉系统可实时追踪球员位置与球的运动轨迹，Tenniix 能够自主移动以回击来球，并形成连续对拉。训练节奏与模式可通过语音指令或应用程序进行选择。使用方式十分简单：打开折叠面板，装入网球，即可开始练习。机器人尺寸为392 × 271 × 448毫米。其目标是让各水平层次的球员都能享受到进阶训练。
About the A' Design Award 银奖
Tenniix 网球训练机器人是 A' Design Award 银奖得主，这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品，展现出其设计师杰出的专业技能、才华与敏锐。预计Tenniix 网球训练机器人将成为一件出色的典范之作，兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明，造福并拓展艺术、科学、设计和技术的边界。Tenniix 网球训练机器人是一件令人羡慕的创作，它唤起渴望，带来积极的情感，并激发惊叹与赞叹。
Press Kit
- 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.
