cleaning
Cleaning Robots for Factories and Warehouses
Autonomous cleaning robots for factories, warehouses, malls, and airports, scrub, sweep, vacuum with auto docking for water refill, drainage, and charging. 24/7 operation.
Thai market range ฿800,000–4,500,000
Common use cases
- ▸ Industrial factories (electronics, automotive, food, pharma)
- ▸ Warehouses / distribution centers (3PL, e-commerce)
- ▸ Shopping malls / large retail
- ▸ Airports / transit hubs
- ▸ Hospitals / clinics
- ▸ Office buildings / supermarkets
Cleaning Robots for Thai Factories and Warehouses
Commercial cleaning robots are autonomous machines that replace human cleaners across mid-to-large facilities (>1,000 m²), they are not consumer vacuums but operate at the same level as a walk-behind scrubber, just without a human operator.
In the Thai factory and warehouse market this is currently the fastest-growing robotics category, driven by labor shortages, rising wages, and ever-larger facilities (Amazon, Lazada, Shopee fulfillment; WD, Seagate, Nidec factories; cold-storage 3PLs).
Why factories and warehouses use them
Specific problems cleaning robots solve:
- Massive floor area, a 30,000+ m² factory takes 8–10 hours per cleaning cycle by hand
- 24/7 multi-shift operations, cleaning must not interrupt production = robot does it overnight
- Hazards, chemicals, oil, metal shavings risk worker injury
- Audit consistency, ISO 9001 / IATF 16949 / GMP audits demand documented cleaning logs
- Labor scarcity, cleaners turn over fast; remote industrial zones can’t find staff
Main types
- Floor scrubber, Avidbots Neo 2, Gaussian Scrubber 75, Pudu BG1, AgiBot C5
- Sweeper, for warehouses with paper/dust debris
- Vacuum, offices, hotels, carpeted areas
- Dust mopping, cleanrooms (semiconductor / pharma)
- Hybrid, scrub + vacuum + sweep in one (Keenon Kleenbot C40)
Avidbots Neo 2 vs Gaussian Scrubber 75 vs Pudu BG1 Pro vs AgiBot C5
| Avidbots Neo 2 | Gaussian Scrubber 75 | Pudu BG1 Pro | AgiBot C5 | |
|---|---|---|---|---|
| Clean water tank | ~95 L | 80 L | 75 L | 90 L |
| Cleaning width | 710 mm | 750 mm | 550–708 mm | 550 mm |
| Cleaning rate | ~1,500 m²/hr | ~2,500 m²/hr | 2,000 m²/hr (spot 6,000) | 1,980 m²/hr |
| Active runtime | 5–6 hr | 6–8 hr | 7.5 hr | 3 hr |
| Docking station | ✅ Full | ✅ Full | ✅ Full | ✅ Self-clean 4 min |
| Navigation | LiDAR + 3D camera | LiDAR + depth | 3D LiDAR + VSLAM | Laser + Vision |
| Factory references | DHL Atlanta, Walmart | Changi T4, Marina Bay | Foxconn, BYD | SAIC EV |
| Thai pricing | ฿2.8–4.0M | ฿2.0–2.8M | ฿1.2–1.8M | ฿1.5–2.0M |
| Thai service | Partner-based | Full (SG HQ) | Reps + online | Via distributor |
Case study: 30,000 m² e-commerce warehouse
Setup:
- Epoxy-coated floor
- Cleaned twice daily (morning + overnight)
- 12 cleaners × 3 shifts
Pre-robot cost:
- Wages: 12 × ฿18,000 = ฿216,000/month
- Cleaning chemicals: ~฿15,000/month
- Water + power: ~฿8,000/month
- Total: ~฿239,000/month
Post-robot (2 × Pudu BG1 Pro):
- Capex: 2 × ฿1.5M = ฿3.0M one-time
- Reduce to 4 staff (supervisor + spot + edge cleaning) = ฿72,000/month
- Auto-dosing chemicals saves ~30% = ฿10,000/month
- Water + power + service: ~฿12,000/month
- Total: ~฿94,000/month
Result:
- Save ฿145,000/month = ฿1.74M/year
- Payback ~21 months (1.75 years)
- 5-year ROI = ฿8.7M – ฿3.0M = ฿5.7M net gain
Automotive factory case (50,000 m²)
Specific challenge: engine oil + metal shavings + grinding dust
- Use scrubber + sweeper combo (Gaussian Scrubber 75 + walk-behind sweeper)
- Robot handles main floor; humans handle areas under production lines
- Degreaser chemicals + wastewater filtration
- Payback ~28–32 months (slower than e-commerce due to oil-related brush wear)
Cold storage / frozen logistics
Constraints:
- Battery efficiency drops at -20°C (~50% of rated runtime)
- Cleaning fluid must use anti-freeze formulations
- Floor may have ice patches, anti-slip mode is essential
Capable models: Gaussian Scrubber 75 (rated -10°C), Avidbots Neo 2 (custom cold-pack)
Features for warehouse/factory deployment
- IP54 or higher, water and dust ingress protection
- Forklift detection, avoid fast-moving forklifts
- Multi-zone scheduling, different zones day/night
- Cloud fleet management, facility team can monitor multiple units
- WMS integration, knows which aisles are active
- Auto edge-cleaning, follows walls 360° (warehouse racks have many edges)
- Real-time dirt detection, spot-clean only dirty areas, save water/chemicals
- Self-cleaning waste tank, critical in food/pharma (AgiBot C5: 4 minutes)
Cleanroom use cases (semiconductor/pharma/medical)
For ISO Class 5–7 environments:
- Built-in HEPA filtration
- ESD-safe / conductive flooring compatibility
- No outgassing materials
- Service logs + ESD safe
Models: Avidbots Neo 2 cleanroom edition, Pudu BG1 cleanroom variant
Pre-investment considerations
- Floor flatness: ±5 mm over 3 m, no edges >20 mm
- Electrical + plumbing room for docking station
- Wi-Fi coverage everywhere
- Cannot handle stairs or very wet/slippery floors (safety signs required)
- Noise level ~60–70 dB, better at night
- Consumables: brushes 2–3×/year, filters 4×/year (~฿20–40K/year)
- Service contract is critical, pick a vendor with on-site Thai support
Robot vs outsourced cleaning
| Outsourced cleaning | Robot | |
|---|---|---|
| Annual cost (30K m²) | ฿2.5–3.5M | ฿1.0–1.5M (year 2+) |
| Year 1 (incl capex) | ฿2.5–3.5M | ฿4.0–4.5M |
| Quality consistency | Depends on staff | Consistent |
| Audit log | Manual | Automatic + cloud |
| Flexibility | High (scale staff up/down) | Low (fixed capex) |
| Absenteeism | Frequent | None (except breakdown) |
| Best for | <10,000 m² | >15,000 m² |
Decision framework
Go robot if:
- Floor area >15,000 m²
- 2+ cleaning cycles per day
- Hard to staff (remote industrial zone)
- Need audit logs
- Capex available
Stay outsourced if:
- Floor area <5,000 m²
- Floor is uneven or has stairs
- Only 1 cleaning cycle per day (outsourcing is cheaper)
- Limited Year-1 budget
