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From Barista Robots to Beverage Serving Robots! ☕🤖 Real-life Examples of Robot Automation At a Cafe that Transformed the Working Environment for the Disabled

Solution Provider
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Lead Time
2 weeks
Application Field
Application > Serving, Application > Food & Beverage, Building Type > Public Institution, Building Type > Hospitality·Foodservice
Application > ServingApplication > Food & BeverageBuilding Type > Public InstitutionBuilding Type > Hospitality·Foodservice
#Serving robots# Barista Robot robots# Doosan Robotics# Cafe robot automation# Public Institution cafes# Employment for the disabled# Education for the disabled# Robot automation examples# Cafe automation# Marosol# Big Wave Robotics

Process Overview

The cafeteria at the Gyeonggi Southern Vocational Training Center of the Korea Employment Agency for Persons with Disabilities, located in Gyeonggi-do, is a facility within a public Institution that supports vocational training and employment for persons with disabilities, and is a space where visitors and internal users consistently come and go.

This cafe has introduced the Serving robot 'Servi+' and barista robot in combination through Big Wave Robotics (Marosol) to reduce the repetitive movement and physical strain involved in the process of ordering, manufacturing, and serving drinks, and to create an environment where a barista robot can work more stably.

By utilizing serving robots and barista robots together, we have automated the overall operation of the cafe and established a structure that allows humans to focus on roles centered on order management, operations, and customer service.

In particular, we have implemented a stable and repeatable cafe robot automation operation model even in cafe environments at public institutions through a flow extending from QR-based ordering to robot beverage manufacturing and autonomous serving .

Project Background and Objective

As the cafe at the Gyeonggi Southern Vocational Training Center of the Korea Employment Agency for Persons with Disabilities is a space where disabled workers actually work, it faced the following operational concerns.

  •  The burden of repetitive movement tasks, from taking orders and Manufacturing beverages to serving tables

  •  Traffic congestion and safety issues during the beverage serving process

  •  Need to improve the work environment to enhance employment continuity

  •  The challenge of expanding employment for people with disabilities from mere assistance to 'sustainable jobs'

Components

Robot

Doosan Robotics's Barista Robot Dr. Presso

Bear Robotics's serving robot

Peripherals

SOLlink Remote Monitoring and Job Reporting System

Workflow

STEP 1.The customer orders a beverage by scanning the QR code attached to the table
STEP 2.The employee checks the beverage order details via a tablet and verifies the ordered beverage and table number
STEP 3.The employee enters the beverage order into the barista robot robot kiosk to manufacturing the drink
STEP 4.The employee loads the beverage onto a serving robot and moves it to the table where the order was received
STEP 5.The customer receives the beverage from the serving robot that has arrived at the table

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