Join ↗Robots of different brands, managed and working together on one platform.
What communities look like today
Delivery, cleaning and inspection robots each have their own back office and know nothing of each other; robots need someone's help to pass through access control or take the elevator; how much work they did and what faults occurred is unclear.
Typical market approaches
Robot vendors only manage their own brands. Many "robots in communities" projects never get past single-unit demos, stalling at doors, elevators and foot traffic, and end up as decorations.
What AIROBO provides
• Unified multi-brand management: device ledger, status and location, task organization, progress tracking, handover of exceptions to humans, work results and operations reports.
• Multi-category coverage: delivery, cleaning, inspection, service, security recognition, facade, restroom and other categories, connected according to each device's actual capabilities. The platform already integrates Pudu, Yunxiang, Gausium, AgiBot, Wanwei, Yuefan and other brands, and the list keeps growing.
• Managed data feedback: robots report battery, location, faults and failure reasons, as well as the actions, time and outcome of manual takeovers.
Choose the most suitable robot for each scenario; new brands connect under the same standard.
The Brain coordinates access control, elevators, passages and charging spots, preventing robots from competing for resources.
Property work orders are automatically assigned to robots by task type, location and device capability, with progress and results written back automatically.
A remote supervisor can oversee multiple robots in parallel and step in only when exceptions occur.
Every stall and every manual takeover feeds into accumulated data, so the same problem causes fewer errors next time.
Cleaning robots work to schedule, delivery robots book elevators to deliver parcels to each floor, and inspection robots carry out night patrols. When a robot is blocked, duty staff take over remotely; the handling process is captured as a playbook, and the next time a similar situation occurs, the new playbook is applied first.
Every community starts differently. We conduct an on-site survey first, and work with you to decide where to start and which pain point to solve first.
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