Hobot Sp10 iScraper ربات نظافت پنجره by Hobot Technology Inc. is a highly esteemed winner of the very prestigious 2026 جایزه برنزی A' Design Award in طراحی لوازم خانگی Competition Category.
برنزلوازم خانگی· 2026
Hobot Sp10 iScraper ربات نظافت پنجره
Client: Hobot Technology Inc.
جایزه برنزی A' Design Award Winner in لوازم خانگی Category
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The Design
About Hobot Sp10 iScraper ربات نظافت پنجره
هوبات Sp10 iScraper رباتی برای نظافت پنجره و سطوح شیشهای خانگی است. این ربات از یک توالی سهمرحلهای شامل پاشش، شستشو و تیغهکشی پیروی میکند. دو نازل پهن، مهپاشی مقاوم در برابر باد انجام میدهند تا آلودگیها را سست کنند. سپس یک پد میکروفایبر شیشه را بهطور یکنواخت تمیز میکند. دو تیغه بالابر بهصورت متناوب آب را جمع میکنند تا سطحی بدون لکه و رد باقی بماند. حسگرهای لبه، شکافهای کمتر از ۵ میلیمتر روی قاب پنجره را برای ایمنی بیشتر تشخیص میدهند. مکش ۶۰۰۰ پاسکالی، دستگاه را روی شیشههای عمودی و شیبدار نگه میدارد. فرآیند نظافت با کنترل از راه دور یا اپلیکیشن موبایل آغاز میشود. یک طناب ایمنی و باتری پشتیبان نیز محافظت بیشتری فراهم میکنند.
The Recognition
About the جایزه برنزی A' Design Award
Hobot Sp10 iScraper ربات نظافت پنجره برنده جایزه برنزی A' Design Award است، شناختی بسیار معتبر که به طراحیهای برجستهای اعطا میشود که با خلاقیت، نبوغ و زیرکی متمایز میشوند. برندگان برنز مصنوعاتی بسیار ماهرانه و چشمگیر خلاقاند که تجربه گسترده، تخیل و ابتکار طراحان خود را تأیید میکنند. از Hobot Sp10 iScraper ربات نظافت پنجره انتظار میرود شیئی بسیار ارجمند، ستوده و دوستداشتنی باشد که بهطور چشمگیری حرفهای و نوآورانه است. این طراحی برنده جایزه برنزی A' Design Award بهترین رویهها را در هنر، علم، طراحی و فناوری در خود جمع میکند و به سبب توجه به جزئیات برجسته است. Hobot Sp10 iScraper ربات نظافت پنجره نیازها را زیبا برآورده میکند، به خواستهها دست میزند، احساسات را مجذوب میسازد و کنجکاوی را برمیانگیزد.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- This window cleaning robot features the sss "Spray-Sweep-Scrape" sequence: dual ultra-wide nozzles spray wind-resistant mist to loosen dirt (Spray), microfiber pad scrubs contaminants uniformly (Sweep), and dual auto-lifting blades use the trailing one for streak-free water removal (Scrape). Edge-Leakage sensors detect sub-5mm gaps on window frames for enhanced safety. This system transforms robotic window cleaning from a wiping device into a true professional-grade glass finishing system.
- Dimensions & Packaging
- Dimensions: 245, 245, 75 mm (Width, Depth, Height)
Weight: 1450 g
Technical properties: vacuum adhesion with dynamic suction up to 6000 Pa (brushless motor), rated power 72 W (Dc 24 V / 3 A), Li-ion 14.8 V battery with 20-minute UPS backup, dual replaceable pressurized ultra-wide spray nozzles, modular dual high-tension silicone scraper blades (3.5 mm), carved TPE caterpillar tracks, Edge-Leakage differential pressure sensors.
Package: robot unit, power adapter, Ac and Dc extension cords, remote control, water bottle, 3 microfiber cloths, safety rope, user manual.
Certifications: ce, fcc, rohs, rcm. - Tags
- robotic window cleaner, professional glass cleaning, edge-to-edge clean, dual blade scraper, edge detection sensor, wind-resistant spray, spray sweep scrape, microfiber scrubbing, UPS and safety rope, vacuum adhesion
- Production Technology
- Precision-molded Abs composite housing ensures high durability and low weight. A brushless DC motor generates 6000 Pa of static suction, while Hnbr caterpillar belts maintain traction on glass inclined from 7 to 100 degree. The 3.5 mm high-tension silicone scraper blades are modular and replaceable for long-term maintenance. A dedicated micro-pump delivers a pressurized mist, and the Edge-Leakage system utilizes five sensors with adaptive algorithms. Validated via more than 1000 cycles.
- Design Challenge
- Challenge: Translating professional manual skill into mechanical intelligence. Internal Factors: Leveraging robotic expertise to meet high-end finishing demands. External Factors: Diverse window frame geometries, wind-stable mist control, and scraper material durability. Overcome: Achieving precise dual auto-lifting blade sequencing within a compact frame. Validated via more than 1000 cycles, this transition from "wiping" to "glass engineering" sets a new benchmark for robotic glass finishing systems.
- Research
- Applied product design. Aim: Replicating professional streak-free manual cleaning. Methodology: Iterative prototyping and material analysis. Tools: High-speed imaging and mechanical force testing. Experiments: 1000 cycles testing blade flexibility and pressure. Results: Patented Spray-Sweep-Scrape system. Insights: Scraper material Shore hardness and switching logic are vital for water removal. Impact: Redefines performance expectations in domestic robotic glass cleaning.
- Inspiration
- Inspired by the 3-step technique used by professional window cleaners: pre-wetting, scrubbing, and scraping for streak-free results, the goal was to automate this expertise into a robot, overcoming limitations in existing models—such as persistent streaks and risks on frameless or narrow frames. Extensive research into cleaning physics, fluid dynamics for wind-resistant mist, and sensor-based edge detection, validated through real tests, led to the patented sss system and Edge-Leakage sensors.
- Project Duration
- Development began in December 2024 in Hsinchu, Taiwan. The Hobot-Sp10 made its global debut at Ces 2026 in Las Vegas, marking its first international unveiling. Designed to redefine robotic glass finishing, it integrates the patented Spray–Sweep–Scrape system with advanced edge detection. Initial commercial shipments commenced in January 2026, following its worldwide introduction.
- Operation Flow
- Operation begins by securing the safety rope and placing the robot on the glass, where it attaches via dynamic suction. Through a remote or app, users trigger the "Spray-Sweep-Scrape" sequence: a micro-mist softens grime, a microfiber pad scrubs, and dual auto-lifting blades mechanically alternate to squeegee water away. This synchronized sequence ensures an immediate streak-free finish. Integrated sensors detect edges in real-time, allowing for safe, autonomous, edge-to-edge navigation.
- Team Members
- George Chao
Jerry Wu
Roger Lin
Charles Lin
Homer Change
Edward Huang - Image Credits
- Newson Wong
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