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M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ by iGarden
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M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ by iGarden

ଲୌହ ରୋବୋଟିକ୍ସ · 2026

M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍

by iGarden

  • A' Design Award ଲୌହ ପୁରସ୍କାର 2026 in ରୋବୋଟିକ୍ସ
  • CLIENT: iGarden
  • Estimated Number of Design Views: 5,898
  • Verification code 5D6BE81436 · Verify this award
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About M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍

M1 AI ସିରିଜ୍ ହେଉଛି ଏକ ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ ଯାହା ଦୀର୍ଘ ସମୟ ଧରି ସ୍ୱୟଂଚାଳିତ ସଫେଇ ପାଇଁ ଡିଜାଇନ୍ କରାଯାଇଛି, ଯାହାର ରନଟାଇମ୍ 16 ଘଣ୍ଟା ପର୍ଯ୍ୟନ୍ତ ରହିଛି। ଅନ୍ଧ ଭାବରେ ଚଳାଚଳ କରୁଥିବା କ୍ଲିନରମାନଙ୍କ ଭଳି ନୁହେଁ, M1 AI ସିରିଜ୍ ତ୍ରିମାତ୍ରିକ ସ୍ଥାନିକ ସଚେତନତା ଏବଂ ସକ୍ରିୟ ଆବର୍ଜନା ଲକ୍ଷ୍ୟ ନିର୍ଦ୍ଧାରଣ ପାଇଁ ବାୟୋମିମେଟିକ୍ ଡୁଆଲ୍ AI ଭିଜନ୍ ଏବଂ କ୍ୱାଡ୍ କୋର୍ ନ୍ୟୁରାଲ୍ ଇଞ୍ଜିନ୍ ବ୍ୟବହାର କରେ। ଏକ କମ୍ପୋଜିଟ୍ ଡୁଆଲ୍ ଗ୍ରିପ୍ ଟ୍ରାକ୍ସନ୍ ସିଷ୍ଟମ୍ ସ୍ଥିର କାନ୍ଥ ଚଢ଼ିବାକୁ ସହାୟତା କରେ। ଏକ ସୋନାର-ସକ୍ରିୟ ୱାଟରଲାଇନ୍ ରିଟର୍ନ ବ୍ୟବସ୍ଥା ଦ୍ୱାରା ବ୍ୟବହାରକାରୀମାନେ ପାଣିର ପୃଷ୍ଠକୁ ଛୁଇଁ ରୋବୋଟ୍‌କୁ ପୁଲ୍‌ର ଧାରକୁ ଡାକି ସହଜରେ ଉଠାଇ ପାରିବେ। ଏହି ଡିଜାଇନ୍‌ର ଲକ୍ଷ୍ୟ ହେଉଛି ପୁଲ୍ ରକ୍ଷଣାବେକ୍ଷଣକୁ 30 ଦିନ ପର୍ଯ୍ୟନ୍ତ ହ୍ୟାଣ୍ଡସ୍-ଫ୍ରି କରିବା।

About the A' Design Award ଲୌହ ପୁରସ୍କାର

M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ A' Design Award ଲୌହ ପୁରସ୍କାରର ବିଜେତା, ଭଲ ଭାବେ ଡିଜାଇନ ହୋଇଥିବା ସୃଷ୍ଟିଗୁଡ଼ିକରୁ ଆଶା କରାଯାଉଥିବା ବୃତ୍ତିଗତ ଓ ଶିଳ୍ପଗତ ଆବଶ୍ୟକତା ପୂରଣ କରୁଥିବା ଭଲ ଡିଜାଇନଗୁଡ଼ିକୁ ପ୍ରଦାନ କରାଯାଉଥିବା ଏକ ପ୍ରତିଷ୍ଠିତ ସ୍ୱୀକୃତି। ଲୌହ ବିଜେତାମାନେ ସେମାନଙ୍କ ସୃଷ୍ଟିକର୍ତ୍ତାମାନଙ୍କର ମହାନ ଦକ୍ଷତା, ଉଚ୍ଚ ବିଶେଷଜ୍ଞତା, ବିଶେଷଜ୍ଞ ବୁଝାମଣା ଓ ସୃଜନାତ୍ମକ କ୍ଷମତା ପ୍ରଦର୍ଶନ କରନ୍ତି। M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ ଏକ ଅତ୍ୟଧିକ ମୂଲ୍ୟବାନ, ପ୍ରଶଂସିତ ଓ ପ୍ରିୟ ସୃଷ୍ଟି ହେବ ବୋଲି ଆଶା କରାଯାଏ ଯାହା ବ୍ୟବହାରିକ ଓ ନବସୃଜନଶୀଳ। A' Design Award ଲୌହ ପୁରସ୍କାର ଜିତିଥିବା ଏହି ଡିଜାଇନ ଶିଳ୍ପର ସର୍ବୋତ୍ତମ ଅଭ୍ୟାସକୁ ସମନ୍ୱିତ କରେ ଏବଂ ଜ୍ଞାନ ଓ ପ୍ରତିଭା ସହ ଜଡ଼ିତ ସକ୍ଷମ ବୈଷୟିକ ବୈଶିଷ୍ଟ୍ୟ ଧାରଣ କରେ। M1 AI Series ରୋବୋଟିକ୍ ପୁଲ୍ କ୍ଲିନର୍ ଏହାର ଯତ୍ନଶୀଳତା ପାଇଁ ସମ୍ମାନିତ ଏବଂ ବିଶ୍ୱକୁ ଏକ ଉତ୍ତମ ସ୍ଥାନ କରିବାରେ ସାହାଯ୍ୟ କରୁଥିବା ଜୀବନଯାପନ ମାନର ଉନ୍ନତି ପ୍ରଦାନ କରିବା ପାଇଁ ଡିଜାଇନ କରାଯାଇଛି।

Press Kit

Unique Properties
Pool Cleaner M1 AI Series is an advanced robotic pool cleaner boasting an unprecedented runtime of up to 16 hours. Unlike traditional blind cleaners, it features Biomimetic Dual AI Vision and a Quad Core Neural Engine for true 3D spatial awareness, actively targeting debris. It effortlessly climbs steep walls using a composite Dual Grip Traction System. Upon completion, a sonar-activated One Touch Waterline Return lets users tap the water to summon the robot, ensuring a 30-day hands-free
Dimensions & Packaging
Product Dimensions:507 X392 X 249mm—507 X 392 X 249mm;Robot NW/GW: 11.5-17.8kg
The exterior features an impact-resistant polymer shell. It integrates a high-energy-density lithium battery delivering up to 16 hours of continuous runtime. The system includes a 4.5L extra-large filter basket for heavy debris, twin pumps providing turbocharged suction, and a 5A fast-charging dock. Sensors include a waterproof acoustic sonar module and dual 4K optical cameras.
Tags
Robotic Pool Cleaner, Biomimetic Dual Vision, AI Pool Equipment, Long Runtime Cleaner, Smart Pool Technology, Yard Automation, Sonar Auto Recall, Deep Cleaning Tech
Production Technology
The core features a hydrodynamic polymer body housing a high-density lithium-ion battery and AI-Inverter system. Environmental perception relies on two optical lenses and a 4K image processing unit connected to a 6 TOPS neural engine. The chassis uses a composite drive architecture of four wheels and slim tracks. The Dual Force Flow System uses twin pumps for massive suction. An internal acoustic sonar module detects water surface taps to trigger the automatic waterline return sequence.
Design Challenge
The core engineering challenge was integrating automotive-grade 3D vision underwater without consuming massive battery power. Typical optical sensors fail in low light or cloudy pool water. We overcame this by developing an adaptive dual-camera system with a 4K image processor and a 6 TOPS neural engine for dynamic mapping. An external challenge was physical retrieval logistics; we engineered an acoustic sonar module that filters ambient wave noise to ensure reliable water-tap detection.
Research
We conducted global field research to evaluate pool maintenance pain points. Testing with 50 pool-owning families revealed that current robots clean randomly, miss spots, and are too heavy to retrieve manually from deep water. Users demanded a zero-rescue solution. This insight drove our dual vision navigation and sonar recall innovations. By actively targeting debris and operating for up to 16 hours, it multiplies cleaning efficiency by 10 times, making backyard maintenance effortless.
Inspiration
Inspiration stems directly from the frustrations of pool owners. Traditional cleaners navigate blindly, get stuck constantly, lack battery endurance, and are extremely heavy to lift from deep water. Guided by our Artful Living Technology philosophy, we envisioned a zero-intervention ecosystem. We gave the robot true 3D sight via dual cameras to eliminate missed spots, and engineered an acoustic sonar recall function so the machine proactively comes to the user, ending manual rescues.
Project Duration
The project commenced in January 2024 in Shenzhen, China, with the final production model completed in December 2025. The product will be officially exhibited globally at the Consumer Electronics Show in Las Vegas, United States, in January 2026. Global distributor and independent website sales initiate in April 2026. Retail availability across major e-commerce platforms in North America and Europe fully begins in May 2026 to align perfectly with the peak summer usage season.
Operation Flow
Daily operation is entirely wire-free and highly intuitive. Users just drop the robot into the pool and the smart system maps the environment autonomously. Dual cameras precisely identify debris and dynamically adjust suction. It climbs walls effortlessly and navigates shallow water steps easily. When cleaning finishes or charging is needed, users simply tap the water surface. The sonar detects the acoustic wave and commands the robot to climb to the nearest waterline for easy retrieval.
Patents
Granted Patent. CN120848560B; Fairland Yituo Outdoor Co. Ltd.2025.China
Image Credits
iGarden

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