PUDU CC1 Pro
AI-powered Autonomous Cleaning Robot
AI Spot Scrubbing
AI Real-Time Cleaning Performance Detection
AI Cleaning Intensity Control
AI Components Self-Monitoring
4-in-1 Versatile Cleaning
VSLAM+ Positioning
AI-driven Perception
IEC 63327 Certification
PUDU VSLAM+
Unlimited by Space, Unmatched in Cleanliness: Powered by a fusion of VSLAM and LiDAR, the robot navigates complex environments with high accuracy—no QR codes required. Paired with AI-powered spot cleaning, it covers 5,000–8,000 m², enabling smart upgrades in large-scale spaces.
AI Spot Scrubbing
1500–3000㎡/h
Cleaning Rate
Targeted Cleaning for Precision & Efficiency: Combining AI vision recognition with dynamic path planning, the system detects common wet stains—like coffee spills, sauces, and puddles—in real time during inspections and instantly generates optimal cleaning routes. With a cleaning rate of 1,500–3,000 m²/h, it delivers faster response times and more efficient coverage.
AI Cleaning Intensity Control
Stubborn Stains Detection
Detects stubborn stains and boosts cleaning power as needed, ensuring deeper, more thorough cleaning.
Floor Cleanliness Monitoring
Detects cleanliness levels and automatically switches modes—eco mode for clean areas, deep cleaning for dirty spots to optimize energy and water use.
Floor Type Detection
Automatically adjusts cleaning modes based on floor type—activates sweep-and-vacuum on hard floors and switches to vacuum-only on carpets for effective dust and debris removal.
AI Real-Time Cleaning Performance Detection
CC1 Pro features the world's first rear AI camera to monitor cleaning performance in real time. It detects leftover stains, triggers spot re-cleaning, and generates heatmaps after each task for clear insight into cleaning results.
AI Components Self-Monitoring
Real-time Monitoring Eliminates Cleaning Inefficiencies: CC1 Pro’s rear AI system monitors cleaning components in real time, detects maintenance-related issues that cause secondary contamination, and triggers automatic marking, touch-up cleaning, or self-cleaning—ensuring a reliable and intelligent cleaning loop.
Omni-Sense Safety
Real-time Monitoring Eliminates Cleaning Inefficiencies: The CC1 Pro features an AI-driven perception system that constantly detects static and moving obstacles for safe operation and full cleaning coverage. Its recognition model continually evolves, expanding obstacle types to adapt to diverse environments.
Versatile Cleaning
All-in-One Cleaning Solution: Sweeping, Scrubbing, Vacuuming and Dust-mopping
Cleaning System Upgrade
Compliant with IEC 63327 Standards Enhanced Durability and Maintenance Improved Cleaning Power
Outstanding IoT Compatibilities, Overpass Your Expectation
There is no need to perform cumbersome system opening actions, and it can be modularly connected to the production process and applied efficiently.
Work Station Series
Auto Water Refill & Drainage
Automatically handles water refill and drainage for a more efficient and effortless cleaning experience.
Auto Power Charging
Automatically returns to the docking station for charging, ensuring extended run-time.
Product Overview
Battery Capacity
50 Ah
Charging Time
About 3 h
Run-time
Scrubbing: 5h
Sweeping & Vacuuming: 5h
Carpet Vacuuming: 4h
Silent Mopping: 9h
Cleaning Capabilities
Sweeping, (Carpet) Vacuuming, Dust Mopping, Scrubbing
Weight
75 kg (165.35 lbs)
Dimensions
629 x 552 x 695 mm (24.76 x 21.73 x 27.36 in)
Display
10.1-inch LCD Screen
Navigation
LiDAR + Visual Fusion Positioning
Cruising Speed
0.2 m/s ~ 1.2 m/s (0.66 ft/s ~ 3.94 ft/s) (Adjustable)
Min. Path Clearance
70 cm (27.56 in)
Cleaning Width (with side brush)
500 mm (19.69 in)
Cleaning Efficiency
700-1000 ㎡/h (837.19-1195.99 yd²/h)
1500-3000 ㎡/h (1,793.99–3,587.97 yd²/h)
Dustbin Capacity
2.5 L (0.66 gal)
6 L (1.59 gal) (Dust bag)
Water Tank Capacity
Clean Water Tank: 15 L (3.96 gal), Dirty Water Tank: 15 L (3.96 gal)
Communication
Supports 4G, Wi-Fi, Bluetooth, E-gate & Elevator Control (Optional)
Auto Charging & Water Refill/Drain
Supported (Requires Optional Docking Station)
Frequently asked questions
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