· Function: Integrate multiple perceptions such as lidar, depth camera, ultrasonic sensor, etc., and cooperate with SLAM (instant positioning and map construction) algorithm, allowing robots to build maps in real time and independently plan the optimal route in a complex and dynamic hotel environment.
· Core value: It can accurately avoid pedestrians, luggage carts and other obstacles, and smoothly pass through narrow passages or carpet areas. There is no need to lay ground magnetic strips or transform the environment, and the deployment is flexible.
2. Application control
· Function: Hotel employees can dispatch orders with one click (such as “sending bath towels to Room 301”) through mobile phone apps or tablet systems, and check the status, power and task logs of multiple robots in real time. Guests can also call by room order or scan the code.
· Core values: simplify training and reduce manual errors. During peak hours, multiple robots can be dynamically scheduled to work together to avoid congestion. Some systems can also connect with hotel PMS (property management system) to realize automatic ladder call and cross-floor distribution.
3. Automatic charging
· Function: When the power is below the threshold, the robot will automatically return to the charging pile; during the idle period of the task, it will also take the initiative to return to the pile to replenish the power, and automatically enter the standby state after it is full.
· Core value: realize 7×24-hour unmanned operation to avoid service interruption due to insufficient power. At the same time, it protects the health of the battery and extends the life of the equipment.
Summary of the overall role:
· Cost reduction and efficiency increase: A single robot can replace the human force of 1-2 food delivery/delivery staff, and the error rate is low.
· Improve the experience: contactless distribution reduces disturbance and improves guest privacy; the fun of robots can become a social communication point.
· Data-driven: The system records high-frequency demand, congestion hours and other data to help optimize hotel lines and inventory.





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