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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Robotic Railway Multi-Sensing and Profiling Unit Based on Artificial Intelligence and Data Fusion.

Marius Minea¹, Cătălin Marian Dumitrescu¹, Mihai Dima¹

¹Department Telematics and Electronics for Transports, University Politehnica of Bucharest, 060042 Bucharest, Romania.

Sensors (Basel, Switzerland)

|October 26, 2021

Summary

A new autonomous robotic vehicle automates railway inspection and measurements using AI and sensor fusion. This intelligent platform enhances railway safety and resilience by detecting anomalies and predicting infrastructure changes.

Keywords:

data fusion infrastructure failure detection machine learning multisensory platform railway automation statistical data filtering

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Area of Science:

Robotics and Automation
Artificial Intelligence
Railway Engineering

Background:

Railway maintenance is resource-intensive and time-consuming.
Current inspection methods are often manual and inefficient.
Complex railway networks require advanced monitoring solutions.

Purpose of the Study:

To present the development and validation of an autonomous robotic vehicle for railway monitoring.
To demonstrate the integration of data fusion and machine learning for railway diagnostics.
To reduce the burden of manual inspection and improve operational efficiency.

Main Methods:

Utilizing an autonomous robotic cart equipped with multiple sensors.
Implementing data fusion techniques for comprehensive data collection.
Applying machine learning algorithms for anomaly detection and analysis.

Main Results:

Field tests and simulations confirmed the platform's ability to collect safety and functional data.
The robotic vehicle successfully detected infrastructural anomalies.
The system demonstrated potential for predicting second-order infrastructure changes.

Conclusions:

The autonomous robotic platform streamlines railway inspection and fault management.
This technology enhances railway capacity and resilience.
The intelligent platform offers a significant advancement in railway maintenance and safety.