Beijing Fromd Design Consulting Co.,Ltd 的作品 Beatbot Sora 30 泳池清洁机器人

设计师 Beijing Fromd Design Consulting Co.,Ltd 的作品 Beatbot Sora 30 泳池清洁机器人荣获了极具声望的 2026 A' Design Award 银奖，竞赛类别为机器人、自动装置与自动化设计。

银机器人· 2026

Beatbot Sora 30 泳池清洁机器人

设计师： Beijing Fromd Design Consulting Co.,Ltd

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

机器人类别A' Design Award 银奖获奖者

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关于 Beatbot Sora 30 泳池清洁机器人

Beatbot Sora 30 是一款专为不同尺寸与布局的游泳池研发的泳池清洁机器人。其导航系统配备 14 个传感器（其中包括两个超声波传感器），并与四核处理器及专有 AI 算法协同工作，可对泳池进行建图并规划高效的清洁路径。可更换的 20 升集尘盒能够容纳大量杂物。前后双滚刷实现彻底清洁与精准转向。圆润流线的机身减少了水下阻力，免喷涂的表面处理工艺则降低了挥发性有机化合物的排放。

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关于A' Design Award 银奖

Beatbot Sora 30 泳池清洁机器人是 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Beatbot Sora 30 泳池清洁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。Beatbot Sora 30 泳池清洁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。

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由设计师提供的致谢、团队成员及技术详情。

独特属性: The pool cleaning robot, with simplicity and efficiency as the core, comprehensively upgrades its user experience through the deep integration of powerful hardware and smart technology. It features an intelligent 14 sensor navigation system with dual ultrasonic sensors, a Cortex A7 4 core 1.8 GHz processor, and self developed AI algorithms, enabling precise environmental mapping and efficient path planning. An innovative replaceable 20 liter dust box effortlessly tackles extensive debris loads.
尺寸与包装: 410mm*430mm*250mm
标签: Intelligent Pool Cleaning Robot, Intelligent 14 Sensor Navigation System, Multiple Cleaning Modes, Replaceable Dust Box, Rounded Streamlined Form, Paint Free Process
生产技术: The surface employs a paint free process, offering a smooth touch and improving overall texture. The process also decreases VOC emissions, contributing to environmental protection. The top surface utilizes distinct colors to clearly define functional zones.
The product boasts a streamlined form with a forward leaning orientation, reducing visual volume, minimizing hydrodynamic drag, and providing greater downward pressure to improve underwater operability and adhesion for more efficient cleaning.
设计挑战: The core innovation of the product lies in its ability to achieve full scenario adaptation. With an intelligent 14 sensor navigation system, the product dynamically adjusts its cleaning strategy based on the dimensions and layout of pools to ensure comprehensive coverage. Featuring large front and rear roller brushes, it allows thorough cleaning and precise turning. An innovative replaceable 20 liter dust box enhances debris capacity to tackle large pools, greatly improving cleaning efficiency.
研究: Considering the limitations of traditional pool cleaning devices with poor perception, single functionality, and limited intelligence, this product aims to truly achieve full scenario adaptation. Featuring an intelligent 14 sensor navigation system and AI algorithms, it flexibly accommodates diverse pool environments. Combined with multiple cleaning modes, large front and rear roller brushes, and a large capacity dust box, it delivers a more efficient and user friendly pool cleaning solution.
灵感: As the global swimming pool market expands, traditional cleaning devices suffer from poor perception, single functionality, and a monotonous industrial style, failing to meet diverse user needs. In response, this product integrates an intelligent 14 sensor navigation system and multiple cleaning modes into a compact, rounded body. It effortlessly tackles complex pool environments and naturally blends into the pool setting, redefining the experience of pool maintenance.
项目周期: The project started in Suzhou in July 2025 and is expected to be completed in Suzhou in March 2026.
操作流程: The dedicated app offers three cleaning modes including Auto, Floor Only, and Energy Saving, while also supporting real time progress tracking, water temperature monitoring, and smart maintenance alerts. In addition, users can customize their go to mode via a programmable toggle for one touch activation, with no app needed. This design perfectly balances intelligence with convenience.
团队成员: Qiangqiang Li, Peihang Wang, Yu Qiao, Huiming Zhang