All categories/Robotic/Snow AI Service Robot
Snow AI Service Robot
RBT-07

Reception Robot

Snow AI Service Robot

Welcome, voice interaction, and navigation robot for schools, nursing homes, education, and retail.

It can realize many functions such as welcome reception, voice interaction, voice control (controlling various instructions), explanation, and navigation. It is mainly used in schools, nursing homes, education, retail and other occasions to improve customer experience, optimize manpower, and attract customers.

Specifications

Appearance dimensionsL550*W600*H1120mm
Total Weight30kg
Moving speed0-1.2m/s
Endurance time≤10h
Charging time3-4h
Screen size13.3inch
Positioning accuracy±50mm
Navigation method40m LiDAR Navigation
Battery capacity20Ah
DOF4 degrees of freedom
Control SystemAndroid
Power50W

Core Features

01

Welcome Reception

Automatically sense the human body in different route directions, and broadcast welcome and farewell messages. Support customized display of voice and image information, and customize languages for different countries and regions.

02

Mobile Ads

The 13.3-inch high-definition touch screen can display mobile advertisements, video playback, discount reminders, boutique push, product information inquiry, map display, etc.

03

Business Consulting

Customized voice dialogue supports the construction of industry data models and massive knowledge bases, answers various business consultation questions to customers, and can continuously learn and optimize intelligently.

04

Facial Recognition System

Automatically detect and recognize faces through cameras, and collect identity information. Quickly search and compare the entered facial database to identify the person's identity, and actively welcome them.

05

Guide the Way

Advanced navigation technology is used to build a map indoors, and the robot leads the customer to the designated point after voice interaction with the customer.

06

Autonomous Avoidance

The robot carries multiple sensors and can position itself in a complex environment. Through a deeply optimized obstacle avoidance algorithm, it can sense real-time environmental changes around it, avoid obstacles in the planned path, choose an appropriate route to move forward, and finally reach the target point.