Beijing Fromd Design Consulting Co.,Ltd 嘅作品 Beatbot Sora 70 泳池清潔機械人

由設計師 Beijing Fromd Design Consulting Co.,Ltd 創作嘅 Beatbot Sora 70 泳池清潔機械人係備受推崇嘅 2026 A' Design Award 銀獎得獎作品，獲獎類別為機械人設計。

銀機械人· 2026

Beatbot Sora 70 泳池清潔機械人

由 Beijing Fromd Design Consulting Co.,Ltd

客戶: Beatbot Technology (USA) Co., Ltd.

機械人類別嘅 A' Design Award 銀獎得獎者

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經驗證嘅獲獎者

驗證設計 #179742 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Beatbot Sora 70 泳池清潔機械人

Beatbot Sora 70係一款泳池清潔機械人。JetPulse技術運用雙水流噴射捕捉漂浮嘅雜物並引導佢哋進入吸入口，毋須再人手打撈。八個摩打同18個感應器支援清潔池底、池壁、水線同水面。水面繫泊系統會部署兩個浮動艙，令機械人可以喺池邊穩定停靠，而SmartDrain排水通道則會排走積存嘅水以減輕重量，方便單手提起。流線型機身可減低水底移動時嘅阻力。

榮譽認可

關於A' Design Award 銀獎

Beatbot Sora 70 泳池清潔機械人是 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Beatbot Sora 70 泳池清潔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。Beatbot Sora 70 泳池清潔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: The Beatbot Sora 70 enhances both cleaning performance and user friendliness. Its exclusive JetPulse technology uses dual water jets to actively capture and guide floating contaminants into the suction inlet, eliminating the hassle of manual skimming. Driven by eight motors and 18 sensors, it effectively cleans the pool floor, walls, waterline, and surface. With an intelligent surface mooring system, it docks securely at the pool edge, allowing users to lift it out with just one hand.
尺寸同包裝: 410mm*430mm*250mm
標籤: Pool Cleaning Robot, JetPulse Technology, Dual Water Jets, Intelligent Surface Mooring System, SmartDrain Technology, Minimalist and Streamlined Design
生產技術: It features a titanium alloy charging assembly and fully recyclable packaging. The surface treatment eliminates paint spraying, enhancing quality and durability while significantly reducing VOC emissions and supporting sustainability.
Its sleek, streamlined shape blends into any pool environment, minimizing drag during underwater movement and increasing downward force to improve adhesion, stability, and cleaning efficiency.
設計挑戰: Floating debris has long been a persistent challenge in pool cleaning. Skimming by hand is slow and tiring, and traditional designs merely nudge debris around instead of capturing it. To solve this, the Beatbot Sora 70 comes with innovative JetPulse technology, using water jets on both sides to actively capture and guide floating contaminants into the main suction inlet. Combined with strong suction power of 6,800 gallons per hour, it removes surface debris quickly and completely.
研究: The Beatbot Sora 70 solves the low cleaning efficiency and cumbersome operation of traditional designs. Its innovative JetPulse technology uses dual water jets to efficiently capture and guide floating debris into the suction slot. Its streamlined body and intelligent surface mooring system enable agile underwater movement and easy pool edge retrieval. Navigation based on multiple sensors and remote control via the app or handheld remote further raise the bar for smart pool cleaning.
靈感: The design answers a deep rooted need to free users from the chore of pool maintenance. While traditional robots clean the floor and walls, they often miss the most visible surface debris, forcing manual skimming. The Beatbot Sora 70 changes that. Its innovative JetPulse technology uses dual water jets to precisely capture and guide floating debris into the suction inlet, delivering fully autonomous cleaning without any manual intervention.
項目時長: The design and development of the Beatbot Sora 70 took place in Suzhou from June 2025 to January 2026. It was showcased at CES in the United States in January 2026.
操作流程: Its innovative intelligent surface mooring system automatically deploys dual floating pods for precise, stable docking. Integrated SmartDrain technology then opens internal drainage channels to expel trapped water, greatly reducing overall weight so users can lift it with just one hand.
A top mounted LED panel shows the current mode and battery level, while the app lets users view pool mapping and cleaning paths in real time and select cleaning modes on demand, enhancing convenience and control.
團隊成員: Qiangqiang Li, Peihang Wang, Huiming Zhang