Process layout
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 |
Features
Convenience
You don't have to go directly to the table thanks to serving robot-based beverage delivery
Simple ordering and management structure utilizing a QR ordering system
Safe autonomous driving utilizing front and rear cameras and sensors
Driving design capable of stable operation even in public Institution environments
Expandable structure capable of future integration with SOLlink-based remote monitoring
Streamlining Work processes
An intuitive process leading from QR ordering to tablet order confirmation, followed by robot manufacturing and serving.
Simple operation through smart obstacle avoidance and path setting
Robots handle repetitive movement tasks to minimize the workload on workers.
A structure with clearly separated movement paths and roles for cafe operations staff
Results
| Key Benefits | Relief from work fatigue due to reduced repetitive movement tasks
Improving job sustainability and job satisfaction of workers with disabilities
Enhancing the image of the public Institution through the operation of robot cafes for visitors
Securing a symbolic demonstration case combining employment for the disabled and robotic automation |
|---|---|
| Client Feedback | Previously, employees had to perform both beverage manufacturing and serving directly, placing a heavy burden on movement and physical exertion. Since the introduction of robots, repetitive serving tasks have been handled by the robots, creating an environment where workers can focus more on order management and operations. Safety was particularly critical given the characteristic of a cafe in a public Institution the robots accurately recognized people and obstacles and drove stably, allowing us to operate with peace of mind. Through this implementation, we were able to simultaneously improve the working environment for people with disabilities and enhance the operational efficiency of the cafe. |
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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
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