ROS & Robotics
Sensor Integration

For industrial teams and robotics developers

This service is intended for teams integrating a robotic platform, adding a new sensing capability or bringing independently developed subsystems together. It is relevant to mobile robots, UAVs, UGVs and industrial inspection systems where embedded hardware and higher-level software need to work as a complete system.

A useful project brief describes the physical task before naming a software package. Explain the environment, the equipment already selected and the decisions that the robot needs to make. State whether the project concerns a new prototype, an existing integration failure or an expansion of a working platform.

Start with a clear interface map

List the sensors, compute hardware, controllers and operator software involved. Record the available interfaces and identify the owner of each component. Include the ROS distribution and operating system already in use, rather than assuming every integration can start with a new software stack.

The engineering discussion should establish what each subsystem produces and what the next subsystem expects. Data formats, timing, coordinate conventions and failure handling are useful review topics. The exact work depends on the existing platform and the evidence available from it.

Keep evaluation tied to the application

For an industrial inspection task, define the defect or event that matters and the conditions under which the system must observe it. For navigation, describe the operating area and the intended behavior when inputs are unavailable. For hardware integration, identify which interfaces can already be tested independently.

Agree an evaluation plan before treating a prototype demonstration as a completed integration. Representative data, repeatable test conditions and documented limitations make the handover more useful to the team that will maintain the system.

Prepare your robotics integration brief

• Describe the physical task and operating environment.
• List the robot, controller, compute platform, ROS distribution and operating system.
• Identify sensors, existing drivers and any custom hardware.
• Explain what works today and which boundary is failing or missing.
• Define the required engineering handover and next development milestone.

Explore our ROS and swarming portfolio, industrial computer vision project and AI and machine learning service. For work close to the hardware, see firmware and device driver development.