LG CLOi ServeBot: The Safe, High-Capacity Delivery Specialist

The LG CLOi ServeBot is an advanced autonomous service robot engineered for reliable, high-volume indoor logistics in demanding commercial and institutional settings. Designed with stability and security as top priorities, the ServeBot features a robust build, superior suspension, and a generous multi-shelf or four-door secure design (depending on model) to safely transport goods up to 66 lbs in a single run. UL-certified for safety and utilizing AI for precise navigation, CLOi ServeBot is the trusted partner for freeing staff from repetitive delivery tasks.

Ideal Use Cases (What CLOi ServeBot is Good For)

CLOi ServeBot excels at handling high-stakes or high-volume transport with maximum stability and autonomy across large facilities.

• Hospitality (Hotels & Resorts): Provides secure, multi-destination room service delivery, amenity delivery, and linen transport, with the capability to interface with elevators for multi-floor operation.
• Healthcare Facilities (Hospitals & Clinics): Ensures the prompt and sterile transport of crucial items like meals, lab samples, patient supplies, or medications between wards and nursing stations, minimizing cross-contamination risk.
• Full-Service Restaurants & Cafeterias: Efficiently delivers large, heavy food and beverage orders (up to 32 standard coffee cups) to multiple tables, and automatically senses when items have been removed from the shelves to proceed to the next stop.
• Corporate Campuses & Offices: Manages internal logistics for mail, parcel, and document delivery between floors and departments, helping streamline facility management tasks.
• Environments Requiring Maximum Stability: Features six wheels with independent suspension to ensure beverages (even soup or coffee) and sensitive materials remain stable and do not spill when traversing uneven floors, carpets, or thresholds.
• Large-Scale Operations: Supports a Multi-Robot Control System allowing a fleet of up to 20 CLOi units to coordinate routes and avoid collisions autonomously, maximizing overall operational throughput.