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PUDUCombo / multi-function
PUDU CC1 Pro
Same hardware as CC1 plus a fast 'Spot Cleaning' mode (1,500–3,000 m²/h) for larger or mixed sites.
SweepVacuumMopScrub
Coverage
700–1,000 m²/h
Clean width
500 mm
Runtime
5 h
Weight
75 kg
Why it stands out
- Fast spot-cleaning mode on top of full-coverage scrubbing
- Adds a spot-cleaning mode the CC1 doesn't have
- Same auto water dock + 4-in-1 heads
Full specifications
| Coverage (published) | 700–1,000 m²/h |
| Cleaning functions | Sweep, Vacuum, Mop, Scrub |
| Floor types | hard, carpet |
| Clean width | 500 mm |
| Clean / recovery tank | 15 / 15 L |
| Dust bin | 6 L |
| Battery | 1.28 kWh |
| Runtime per charge | 5 h |
| Charging time | 3 h |
| Max speed | 1.2 m/s |
| Navigation | VSLAM+ / LiDAR |
| Obstacle avoidance | 3D obstacle avoidance |
| Gradeability | 8° |
| Threshold crossing | 20 mm |
| Min aisle width | 70 cm |
| Noise | 70 dB |
| IP rating | IPX4 |
| Weight | 75 kg |
| Dimensions (L×W×H) | 629 × 552 × 695 mm |
| Auto water dock | Yes |
| Elevator / multi-floor | No |
Manufacturer-published specs (source: PUDU CC1 Pro Operation Guide V2.0 p.14). “Not published” = the maker doesn't disclose it; we don't estimate those.
How many would your site need?
Measure your floor area from a plan, then size a fleet and see the labour it saves. ROI & payback included.
Pricing:est. A$ 32,832 ex-GST · RobotLAB US$24,000 → AUD ×0.9
Where we've sized the PUDU CC1 Pro
Worked examples with fleet counts, labour displaced and payback.
- Case StudyThe Wet Shift Nobody Wants: 7,000 m² of Poultry Plant Floor, Scrubbed for a 21-Month PaybackA composite case study: how three Gausium Scrubber 75P units clear 7,000 m² of fat-loaded poultry plant floor inside a 5-hour sanitation slot for a 21-month payback — and why we passed on three cheaper fleets that clear the same floor.
- Industry InsightsPUDU vs Gausium vs CenoBots: 17 Machines, One Rule, Three Different WinnersWe put every comparably-priced machine in our catalogue on one derated throughput basis and one AUD footing. No brand wins every class — and the assumptions that decide the close calls aren't printed on any spec sheet.
- Case StudyHow a 12,000 m² Supermarket Cut Nightly Cleaning Costs 38%A composite case study: shortlisting three autonomous scrubbers for a mid-size grocery store, the deployment, and the real payback math from our Fleet & ROI engine.
- Case StudyOne Model, 20 Supermarkets: 14 Months to Pay Back — 111 at the Smallest SixA composite case study: standardising a 20-store Australian grocery estate on a single PUDU CC1 Pro per site. The estate pays back in 14 months — but the same robot takes 8 months in a large-format store and 111 in a metro one.