Feifei Yu, Hong Bai and Qianwen Hu 嘅作品 Intelligent Bionic Robot Horse 馬術騎乘模擬器

由設計師 Feifei Yu, Hong Bai and Qianwen Hu 創作嘅 Intelligent Bionic Robot Horse 馬術騎乘模擬器係備受推崇嘅 2022 A' Design Award 鐵獎得獎作品，獲獎類別為運動用品設計。

鐵運動用品· 2022

Intelligent Bionic Robot Horse 馬術騎乘模擬器

由 Feifei Yu, Hong Bai and Qianwen Hu

客戶: Joy Game Technology Co., Ltd

運動用品類別嘅 A' Design Award 鐵獎得獎者

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經驗證嘅獲獎者

驗證設計 #137129 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Intelligent Bionic Robot Horse 馬術騎乘模擬器

智能仿生機械馬係一款專為馬術教學同訓練而設計嘅騎乘模擬器。機身採用塑膠製造，結構框架用金屬打造，腳踏平台以木材製成，馬鞍則以皮革縫製。運動模擬控制系統驅動四個線性致動器，重現真馬嘅各種姿態動作。裝置保留咗韁繩同馬鐙，令騎手可以用同真實馬術運動一樣嘅方式操控模擬器。教練只需按一個掣就可以令馬匹停止，而騎手亦可以透過拍打嚟令動作停止。呢個裝置仲提供健身同娛樂功能。

榮譽認可

關於A' Design Award 鐵獎

Intelligent Bionic Robot Horse 馬術騎乘模擬器是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Intelligent Bionic Robot Horse 馬術騎乘模擬器將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Intelligent Bionic Robot Horse 馬術騎乘模擬器因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

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: By adopting the motion simulation control system, the robot horse can simulate the postures of the horse and truly restore the riding experience, which fills the gap of the intelligent auxiliary teaching equipment for equestrian sports. The problems of standardization of teaching and high operating costs have been solved, can promote equestrian sports very well. At the same time, it provides a variety of fitness and entertainment functions.
尺寸同包裝: Width1370mmxDepth870mmxHeight1120mm
標籤: Robot horse, Equestrian, fitness, entertainment, competitions
生產技術: The body of the horse is made of plastic, the pedal platform is made of wood, the structural frame is made of metal and the saddle is made of leather. Motion principle: the microcomputer transmits the signal to the servo controller, which receives and processes the signal and controls the four linear actuators. The four linear actuators move respectively to simulate various movements of the bionic robot horse.
設計挑戰: It needs to be calibrated constantly with real horses running to achieve the accuracy of the simulation.
Bionic design should make users immediately associate with equestrian sports, and retain saddle, stirrup, rein and other elements unique to equestrian sports in the structure
Restore the riding experience while achieving the minimum footprint, structural stability and safety. At the same time, retain equestrian through rein, feet, riding to control the movement of equipment function.
研究: The bionic robot horse combines the innovative technology of artificial intelligence, bionics, human engineering and other fields to collect the movement data of the real horse, convert them into electronic signals, and present them in bionic robot horse. Then, the details of the movements are constantly adjusted to get close to the feeling of the real horse. It can execute action commands stably and indiscriminately, and helps the equestrian club to improve the overall operation capacity.
靈感: The author made a summary from the equestrian work.
1. The comprehensive cost of raising horses is high; the labor cost of horse maintenance is high.
2. It takes a long time to make the marketing elaboration; the transformation rate is low.
3. The efficiency of one-to-one teaching is difficult to improve; teaching quality is difficult to be unified.
4. Repetitive exercises are tedious; beginners are at high risk of falling off the horse;poor comprehensive experience results in the loss of customers.
項目時長: The project started in Beijing in October 2018 and completed in March 2020. It operates in many equestrian venues, shopping malls and gyms.
操作流程: After getting on the horse, users can follow the video guidance to teach themselves or be guided by professional coaches. It can predict the action, the coach can stop the horse with one button. Once a sudden accident happens, students can stop the horse immediately by patting it. For beginners, this product is safer, more convenient, and easy to use.
團隊成員: Feifei Yu
Hong Bai
Qianwen Hu
Jing Cao
Liming Sun
Yimang Lin