Efficiency & flexibility
Adjust processes quickly to changing demand and line layouts.
Autonomous navigation • Flexible smart systems
ROS Robotics System Design
Modular ROS architecture for AMR and AGV integration — combining sensors and control algorithms into flexible, dispatchable material-handling solutions.
Smart automation starts with ROS
After Industry 4.0, AI has become central to technology. Automated production and data-driven processes are changing how industries work, and traditional systems can no longer handle diverse challenges — companies need intelligent vehicles that adapt quickly.
We build on ROS (Robot Operating System) to design and integrate smart systems. More than a robotics framework, ROS uses modular, cross-platform design to integrate sensors, navigation algorithms and control, giving AMRs and AGVs the flexibility to upgrade entire production lines.
Benefits
Four ways ROS adds value
Lower rework cost
Software and modular design replace fixed wiring, reducing retrofit and maintenance effort.
Integrated sensor data
Manage data from different sensors in one place for more reliable decisions.
Ready for AI dispatching
A data and system architecture that supports AI and automated scheduling long-term.
From concept to value
From consulting to long-term support
From early consulting and hardware planning to software development and maintenance, we support companies and research teams in turning ideas into results.
- 1
System architecture
Plan ROS architecture and module layout for scalability and stability.
- 2
Hardware planning
Select components that balance performance and reliability.
- 3
Software development
Nodes, navigation algorithms and sensor fusion for a complete ROS environment.
- 4
Integration & support
On-site deployment with continuous optimisation and expansion.
Project work
Real projects, real results
Version comparison
How is ROS 2 different from ROS?
Version differences matter when you start real development. We help you choose the right one for your application.
| Aspect | ROS | ROS 2 |
|---|---|---|
| Communication | Centralised architecture based on ROS Master | DDS-based distributed middleware with masterless networking and QoS |
| Real-time | Not real-time; best for research, simulation and teaching | Real-time capable for industrial and safety-critical use |
| Security | No native security design | Encryption, authentication and secure transport |
| Platforms | Mainly Ubuntu; others community-maintained | Native Ubuntu, Windows, RTOS and embedded support |
| Ecosystem | Mature with complete docs, many simulators and robot platforms | Growing fast, with ROS compatibility and package porting |
| Resource management | Single-node memory control, simple namespaces | Multi-node, clear namespaces, multi-robot and configurable launch |
ROS training courses
A step-by-step ROS learning path
Every level can be delivered in a flexible format, with course kits, learning resources, technical support and a certificate on completion.
Beginner
ROS fundamentals
- ROS architecture and trends
- Installation and development environment
- Nodes, topics and services
- Hands-on tasks with TurtleBot3 + Gazebo
Intermediate
Sensor integration & navigation
- Lidar, camera and chassis control with TF
- Mapping and path planning with the Navigation Stack
- Debugging with RViz and Gazebo, launch files
- Custom messages, services and actions
Project
AI vision & multi-robot challenges
- SLAM, obstacle avoidance and autonomous navigation
- AI with OpenCV and deep learning models
- Multi-robot collaboration and autonomy
- Final project presentation
Industry
Custom programmes for companies & schools
- Tailored content for AGV, AMR and robot arms
- On-site testing and line integration
- System integration strategy
- Integration with PLC / SCADA / MES workflows
Learn more
ROS development & training
Every project needs its own approach
From consulting to integration, we work with you to reach your goals.