CourseCivil, Rail & Smart Cities Applications open

Tunnel Inspection Robot Course

Online course of 300 hours in inspection robots in tunnels. 6 modules covering tunnel inspection needs, robotic platforms, on-board sensors, navigation and localisation, and data processing and analysis, with an assigned technical tutor.

Duration300 hours · 3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Identify the inspection needs that robotics can cover in tunnels.

02

Compare robotic platforms according to the type of tunnel.

03

Select on-board sensors for each type of defect.

04

Apply GNSS-free navigation and localisation techniques.

05

Process inspection data with computer vision and point clouds.

06

Plan safe and efficient robotic inspection campaigns.

07

Design a complete robotic inspection solution for a tunnel.

Profile

Who it's for

  • Applied robotics engineers
  • Infrastructure inspectors
  • Computer vision specialists
  • LiDAR survey technicians
  • Tunnel maintenance managers
  • Autonomous systems developers
  • Engineering or science graduates looking to move into railway maintenance
Standards & tools

What you'll work with

  • ISO 10218-1 (robots and robotic devices: safety requirements for industrial robots)
  • Directive 2006/42/EC (Machinery Directive)
  • Implementing Regulation (EU) 2019/947 (rules and procedures for the operation of unmanned aircraft)
  • ISO 13482 (robots and robotic devices: safety requirements for personal care robots)
  • UNE-EN 13306 (maintenance terminology)
  • Royal Decree 635/2006 (minimum safety requirements for tunnels on the Spanish State road network)
  • ISO 18436 (condition monitoring: requirements for qualification of personnel)
  • ROS 2
  • CloudCompare
  • OpenCV
  • PyTorch
  • Leica Cyclone
Syllabus

6 modules

  1. 1.1Defects to be detected in tunnels
  2. 1.2Limitations of manual inspection
  3. 1.3Inspection windows and impact on traffic
  4. 1.4Types of robotic platform
  5. 1.5Personnel safety and confined spaces
  6. 1.6Accuracy and resolution requirements
  7. 1.7Inspection of hydraulic tunnels and flooded galleries
  8. 1.8Inspection during TBM construction
  9. 1.9State of the art of robotics in tunnels
  10. 1.10Case study: manual versus robotic inspection comparison
  1. 2.1Road-going inspection vehicles
  2. 2.2Rail-mounted robots
  3. 2.3Drones for GNSS-denied confined spaces
  4. 2.4Quadruped and tracked robots
  5. 2.5Climbing and cable-mounted robots
  6. 2.6Underwater vehicles for hydraulic tunnels
  7. 2.7Energy autonomy and communications
  8. 2.8Mechanical design for aggressive environments
  9. 2.9Safety regulations in robotics
  10. 2.10Workshop: selecting a platform for a service tunnel
  1. 3.1High-resolution line-scan cameras
  2. 3.2Mobile LiDAR laser scanning
  3. 3.3Infrared thermography of surfaces
  4. 3.4Ground-penetrating radar on a mobile platform
  5. 3.5Ultrasound and impact-echo
  6. 3.6Gas and air quality sensors
  7. 3.7Multi-sensor data fusion
  8. 3.8Calibration and synchronisation
  9. 3.9Data compression and storage
  10. 3.10Laboratory: camera and LiDAR calibration
  1. 4.1GNSS-free localisation in tunnels
  2. 4.2SLAM with LiDAR and vision
  3. 4.3Odometry and inertial measurement units
  4. 4.4Referencing to the tunnel axis and chainage
  5. 4.5Trajectory planning
  6. 4.6Teleoperation and supervised autonomy
  7. 4.7Obstacle avoidance
  8. 4.8ROS robot operating systems
  9. 4.9Field testing and validation
  10. 4.10Practical exercise: SLAM map of a gallery with ROS
  1. 5.1Unrolled orthoimages of the intrados
  2. 5.2Automatic crack detection with computer vision
  3. 5.3Segmentation of damp patches and spalling
  4. 5.4Comparison between successive inspections
  5. 5.5Deformation models from point clouds
  6. 5.6Integration into asset management systems
  7. 5.7Automatic inspection reports
  8. 5.8Algorithm reliability and human validation
  9. 5.9Trends in artificial intelligence for inspection
  10. 5.10Case study: analysis of a robotic campaign on a metro
  1. 6.1Definition of the tunnel and inspection objectives
  2. 6.2Selection of platform and sensors
  3. 6.3Navigation and localisation strategy
  4. 6.4Campaign plan and working windows
  5. 6.5Data processing workflow
  6. 6.6Results delivery format
  7. 6.7Cost and productivity analysis
  8. 6.8Risks and safety measures
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

Delivered 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the course can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, CloudCompare, OpenCV, PyTorch and Leica Cyclone, in free, academic or evaluation versions. Testing is studied through real procedures for automated inspection of metro linings, LiDAR surveys of railway tunnels and crack detection with computer vision. Assessment is continuous by module, plus the final capstone project.

Standards covered: ISO 10218-1; Directive 2006/42/EC; Implementing Regulation (EU) 2019/947; ISO 13482; UNE-EN 13306; Royal Decree 635/2006; ISO 18436.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 10218-1, Directive 2006/42/EC and Implementing Regulation (EU) 2019/947 applied to real cases, not as a theoretical annex.
Industry software:ROS 2, CloudCompare, OpenCV, PyTorch and Leica Cyclone, in free, academic or evaluation versions.
Final project:a complete robotic inspection solution for a tunnel, covering platform and sensors, navigation, campaign planning, data processing and cost analysis, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Inspection objectives
Define the tunnel and the objectives of the inspection.
Platform and sensors
Select the robotic platform and the on-board sensors.
Navigation and campaign
Define the navigation strategy and plan the campaign within working windows.
Data processing
Design the data processing workflow and the results delivery format.
Final project
A complete robotic inspection solution with costs, risks and safety measures, reviewed by your tutor.
Career opportunities

Where this takes you

Applied robotics engineerInfrastructure inspectorComputer vision specialistLiDAR survey technicianTunnel maintenance managerAutonomous systems developer
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ROS 2, CloudCompare, OpenCV, PyTorch and Leica Cyclone, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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