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Comprehensive Suite of Consulting Services
Delivered by Roboticist and ROS Experts
Our expertise spans across autonomous mobile robots (AMRs), robotic arms, UAVs, and AI-driven robotic platforms.
We provide end-to-end ROS solutions that enable robotics companies to accelerate development, optimize performance, and ensure long-term system reliability
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Our ROS Capabilities
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:
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ROS1 to ROS2 Migration – Refactoring packages, updating dependencies, and ensuring compatibility across hardware and software layers.
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Custom ROS2 Development – Leveraging ROS2’s real-time capabilities, improved communication middleware (DDS), and enhanced security features.
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Hybrid ROS1 & ROS2 Systems – Implementing bridging solutions to enable phased migration without affecting existing deployments.
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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.
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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.
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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.
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ROS Software Development
We offer full-stack ROS software development, including:
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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.
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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.
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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.
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Real-time Performance Optimization: Optimizing ROS systems for real-time performance, ensuring low latency and deterministic behavior critical for many robotic applications.
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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.
3
ROS Integration and Deployment
We have extensive experience in integrating various hardware and software components with ROS:
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Sensor Integration: Integrating a wide range of sensors with ROS, including driver development and calibration.
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Hardware Acceleration: Utilizing GPUs and other hardware accelerators to enhance the performance of ROS applications, particularly for computer vision and machine learning tasks.
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Cloud Integration: Connecting ROS systems to cloud platforms for data storage, remote monitoring, and advanced analytics.
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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.
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ROS-based Application Development
We develop custom ROS applications tailored to specific client needs:
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Navigation and Localization: Building advanced navigation and localization systems using ROS navigation stack, including SLAM, path planning, and obstacle avoidance.
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Manipulation and Control: Developing sophisticated manipulation and control algorithms for robotic arms and other manipulators, including motion planning and grasping.
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Simultaneous Localization and Mapping (SLAM) – Implementing GMapping, Cartographer and RTAB-Map.
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Path Planning & Obstacle Avoidance – Developing planning algorithms for complex environments.
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Multi-Robot Coordination – Implementing centralized and decentralized navigation strategies for fleet management and collaborative robotic systems.
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Custom Robot Controllers – Developing motion control algorithms, trajectory planning, and real-time feedback systems for improved accuracy.
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ROS-based Digital Twins – Simulating robotic workflows using Gazebo, Webots, and NVIDIA Isaac Sim to optimize industrial automation before deployment.
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Fleet Management & Swarm Robotics
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For companies managing multiple robots or fleets, we provide scalable fleet management solutions for optimized coordination and scheduling. Our capabilities include:
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Multi-Robot Task Allocation & Scheduling – Implementing AI-driven dispatch and task assignment systems for coordinated execution.
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Traffic Management for AMRs – Developing ROS-based traffic control and congestion management algorithms.
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Personalisation and Annotation of maps - Building and integration map annotation tools to personalise maps and to optimise navigation and mission management.
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