MOROS

Next-Generation AI Platform for Intelligent Automation and Human-Robot Collaboration

Revolutionizing the Future

MOROS is an advanced AI platform developed by Roboe Technologies that seamlessly integrates artificial intelligence with robotic systems to create intelligent automation solutions for the modern world.

Our platform empowers businesses to achieve unprecedented efficiency while maintaining the human touch that makes work meaningful and productive.

MOROS
Platform Specifications
Control TargetMulti-brand / Heterogeneous integration support
Operating Function
• Real-time path optimization + collision avoidance support
• Integration with external systems (MES) for task execution and result reporting
• Robot operation and task execution while controlling external devices such as elevators and automatic doors
Deployment MethodFlexible deployment both in cloud and local environments
Data UtilizationOperational report generation, simulator and replay functionality
ScalabilityFree integration of various environments and robots
Verified CasesApplied to various industries including manufacturing, guidance, patrol, serving, and disinfection
How it connects

Connects directly to the systems and equipment already on your floor

Robots work from orders sent by your upper-level systems and exchange signals with line equipment. No extra gateway hardware in between.

Upper-level systems
WCS · WMS

Receives work orders and returns results

MES

Receives product codes and recipes for each job

Tablet app

Work orders, monitoring and manual control in one screen

MOROS

Robot operations software

MOROW robots

Run the work and report status in real time

Line equipment
Alignment conveyor PLC

Reads alignment-complete signals and controls infeed

Safety PLC

Exchanges safety stop and recovery signals

On-site cameras

Keeps live views and footage from the moment of an alarm

Equipment is connected over Modbus TCP; robots and the app over WebSocket and real-time streaming.

Remote operations

Operations that no longer need a site visit

Updating software, checking status and investigating problems all happen remotely.

An engineer visits the site for every update
Upload the file from the tablet and it reaches the robot
The line stops while the update is applied
Zero-downtime switchover while the line keeps running
Collect the tablet to read its logs
App logs are gathered automatically and read remotely
Check on site which version is running
The version is shown right on the screen

The tablet app updates itself on both Android and Linux.

Root cause

The reason it stopped is kept on video

When a robot raises an alarm, footage from that moment is stored automatically. Open the alarm later and watch exactly what happened.

1

Alarm is raised

Shown in three parts: what the state is, why it happened, and what to do

2

Footage is stored

Camera footage around the alarm time is kept together with the robot logs

3

Play it back on the spot

Open it from the alarm list and see the moment. Finding the cause takes far less time

Cameras can be panned and zoomed from the screen, and stay visible while the robot is driven manually.

Remote support

We see trouble before you have to report it

Roboe watches the status of running sites remotely. Rather than waiting for a call, we see the problem first and reach out.

Every site on one screen

All running sites in one place, so a stopped line stands out immediately

Per-site status board

Open a site to see each robot's state, recent alarms and work history in order

Operating figures over time

Throughput and downtime accumulate by date, giving a basis for improvements and preventive maintenance

Data only leaves the site, never enters it

Equipment on site pushes what is needed outward at intervals, so no inbound connection into the site is opened. The screens are visible only to authorised accounts after sign-in.

All sites at a glance
Every running site in one place
Illustrative view
Site A
Robots 4 · Running
Uptime
96%
Site B
Robots 2 · Running
Uptime
91%
Site C
Robots 1 · Paused
Uptime
74%
Site D
Robots 3 · Running
Uptime
88%
Site status board
Per-robot state and recent alarms
Robot 1
Stacking312 per hour
Robot 2
Stacking298 per hour
Robot 3
Idle—
Robot 4
Alarm—
Recent alarms
  • No response from alignment conveyor
  • Box recognition failed
  • Safety stop released

The real boards are visible only to authorised accounts after sign-in. The view above illustrates the layout.

Digital Twin

Your site, re-created in 3D

Start by watching robot status, grow to integrate line equipment, and see joint motion and stacking in full three dimensions.

L1 — Status Monitoring

Standard

Robot operating state, speed, alarms, run/stop/idle time and work volume in real time

L2 — Line Integration

Standard

Conveyor and PLC signals, safety PLC stop and recovery, and camera footage at the moment of an alarm

+ L1 Status Monitoring

L3 — Digital Twin

Option

Robot joint motion, gripper state, pallet stacking status and equipment shapes moving in 3D

+ L2 Line Integration

Robots move by their actual joint values; surrounding equipment is shown by its shape and signal state

Remote update

Zero-downtime switchover

Alarm video archive

See the cause immediately

No external access

Outbound-only, no inbound connections

On-site changes

A new product? Change it on the floor

No waiting on a vendor schedule to change how boxes are stacked. Operators change it in the app, and roll it back if needed.

1

Set the stacking pattern

Define how the new product should be stacked, right in the app

2

Save and it applies

The next job runs with the new pattern

3

Roll back any time

If the result is not right, pick an earlier version from the history

People take over when automation cannot

Boxes placed by hand are folded into the plan, so the line keeps going instead of stopping.

The robot asks

When a situation is ambiguous the app asks the operator and continues with the answer. Recovery steps are guided on screen.

Optimization

Improve operations with accumulated data

If monitoring is about seeing, optimization is about improving with data and proving the results in numbers.

Observe
Collect data
Diagnose
Break down causes
Improve
Adjust parameters
Verify
Compare metrics

Cycle time and throughput

Break down time per work segment to find where it slows down

Idle and stop cause analysis

Tell apart whether the robot or the upstream/downstream equipment caused the stop

Stacking quality improvement

Learn the gap between planned and actual coordinates to raise accuracy

Motion optimization

Adjust joint speed and path to reduce cycle time

Predictive maintenance

Watch motor current, torque and temperature trends to flag inspection timing in advance

74% → 89.4%
Loading rate change
99.9%+
Robot availability
31,670
Boxes in 7 days

Actual results from 4 CBR robots on site

What else is in place

The things it takes to run for a long time on a real floor.

Multi-line setup

Run several lines on one site with the same structure, grouping robots and equipment per line

Role-based access

Operators, supervisors and maintenance staff each see and control only what they should

Validation before installation

Build the site with simulated equipment and run the whole scenario end to end first

Korean and English

Screens and alarm messages are provided in both languages

Light and dark themes

Switch to a display that is easy on the eyes in dim warehouses and night shifts

Camera pan and zoom

Aim and zoom the cameras from the screen, or open them full screen

Manual control from the tablet

Eight-way jogging, one-hand mode and preset poses, all from the tablet

3D stacking view

See in three dimensions how the pallet is stacked right now

Technology Stack

Built on cutting-edge technologies that define the future of AI and robotics

Advanced AI & Machine Learning

Deep learning models powered by neural networks that enable complex decision-making, pattern recognition, and predictive analytics for optimal performance.

Cloud-Native Architecture

Scalable, secure, and reliable cloud infrastructure that ensures 24/7 availability and seamless performance across global operations.

Flutter Multi-Platform

Provides consistent user experience across various platforms including Android, iOS, Windows, Web, and macOS with a single codebase.

Reduced development resources and increased development speed

Fast and beautiful UI implementation

Excellent execution performance with JIT/AOT compilation

Clean Architecture

Applies systematic development methodology through MVVM pattern, layered structure, and atomic design.

High maintainability and scalability

Increased reusability with modular structure

Enhanced testability and performance optimization

Integrated Control System

Real-time robot monitoring and control

Work Throughput+12%
System StatusNormal
85%
Connected Robots8 Active
Morow-01
Morow-02
FMR-01
FMR-02

Ready to Transform Your Operations?

Join leading companies that trust MOROS to power their intelligent automation initiatives and drive business growth.