With the shift from ROS1 to ROS2, many robotics companies face the challenge of upgrading their systems while maintaining stability and performance. We provide a structured, low-risk migration process to ensure seamless transition without operational disruptions.

Our key capabilities in this area include: 

• ROS1 to ROS2 Migration – Refactoring packages, updating dependencies, and ensuring compatibility across hardware and software layers.

• Custom ROS2 Development – Leveraging ROS2’s real-time capabilities, improved communication middleware (DDS), and enhanced security features.

• Hybrid ROS1 & ROS2 Systems – Implementing bridging solutions to enable phased migration without affecting existing deployments.

• Zenoh Integration - Expertise in integrating Zenoh with ROS-based systems, providing for Seamless Edge-to-Cloud Communication, improving real-time data exchange for multi-robot systems, fleet management, and remote monitoring.

• Digital Twin Development for Robotics - developing ROS-integrated Digital Twin solutions for robotics applications, including: Creating physics-accurate digital models of robotic systems using Gazebo,NVIDIA Isaac Sim and PyBullet, Edge-to-Cloud Digital Twin Deployment, Real-Time Synchronization – Connecting real robots with their digital counterparts through sensor fusion, telemetry data, and AI-driven analytics.

• Mobile App Development for ROS-Based Robotics - custom mobile applications (native - iOS, Android) that seamlessly integrate with ROS1 and ROS2, allowing users to interact with and control robots from smartphones or tablets.

We offer full-stack ROS software development, including:

• Node Creation and Management: Developing robust and efficient ROS nodes for sensor data processing, actuation, and high-level control. We ensure seamless communication and data flow within the ROS ecosystem.

• Message and Service Definition: Designing custom ROS messages and services to meet specific project requirements. We focus on clarity, efficiency, and maintainability in our message and service definitions.

• Package Development and Organization: Creating well-structured ROS packages that promote modularity and reusability. We adhere to ROS best practices for package organization and dependency management.

• Real-time Performance Optimization: Optimizing ROS systems for real-time performance, ensuring low latency and deterministic behavior critical for many robotic applications.

• Simulation and Testing: Gazebo, PyBullet, and Isaac Sim Expertise – Developing comprehensive simulation environments using Gazebo and other tools for thorough testing and validation of ROS software before deployment on physical robots.

We have extensive experience in integrating various hardware and software components with ROS:

• Sensor Integration: Integrating a wide range of sensors with ROS, including driver development and calibration.

• Hardware Acceleration: Utilizing GPUs and other hardware accelerators to enhance the performance of ROS applications, particularly for computer vision and machine learning tasks.

• Cloud Integration: Connecting ROS systems to cloud platforms for data storage, remote monitoring, and advanced analytics.

• Digital Twin: developing ROS-integrated Digital Twin solutions for robotics applications, including: Creating physics-accurate digital models of robotic systems using Gazebo,NVIDIA Isaac Sim and PyBullet.

We develop custom ROS applications tailored to specific client needs:

• Navigation and Localization: Building advanced navigation and localization systems using ROS navigation stack, including SLAM, path planning, and obstacle avoidance.

• Manipulation and Control: Developing sophisticated manipulation and control algorithms for robotic arms and other manipulators, including motion planning and grasping.

• Simultaneous Localization and Mapping (SLAM) – Implementing GMapping, Cartographer and RTAB-Map.

• Path Planning & Obstacle Avoidance – Developing planning algorithms for complex environments.

• Multi-Robot Coordination – Implementing centralized and decentralized navigation strategies for fleet management and collaborative robotic systems.

• Custom Robot Controllers – Developing motion control algorithms, trajectory planning, and real-time feedback systems for improved accuracy.

• ROS-based Digital Twins – Simulating robotic workflows using Gazebo, Webots, and NVIDIA Isaac Sim to optimize industrial automation before deployment.

• For companies managing multiple robots or fleets, we provide scalable fleet management solutions for optimized coordination and scheduling. Our capabilities include:

• Multi-Robot Task Allocation & Scheduling – Implementing AI-driven dispatch and task assignment systems for coordinated execution.

• Traffic Management for AMRs – Developing ROS-based traffic control and congestion management algorithms.

• Personalisation and Annotation of maps - Building and integration map annotation tools to personalise maps and to optimise navigation and mission management.