COMAU AND LEONARDO LEVERAGE COGNITIVE ROBOTICS TO DELIVER ADVANCED AUTOMATED INSPECTION

The increasing push for faster processes, better control and higher quality in the aerospace industry necessitates a new generation of advanced automation designed to automate complex processes that until a short time ago could only be done manually. When it comes to testing critical structures such as helicopter blades, for example, the potential benefits of automation increase exponentially, as robotic inspection grants accuracy as well as efficiency. They also ensure standardization of and full compliance with the testing process by objectively completing each assigned task.

Powerful, self-adaptive robotic solution
To address this need, Comau and Leonardo are working together to develop and test a powerful, self-adaptive robotic solution to autonomously inspect helicopter blades measuring up to 7 meters. The smart inspection solution has been developed as a joint pilot project and was tested on-site in Anagni, Italy, over the past year. The system may now move to another site to deliver enhanced capabilities for MRO (Maintenance, Repair and Overhaul) services.

Leveraging a combination of cognitive robotics, advanced vision systems and artificial intelligence, the solution autonomously performs tapping tests and multispectral surface inspection along the non-linear blade, to measure and verify the structural integrity with a granularity exceeding thousands of points. More importantly, robotized inspection ensures 100% accuracy within the self-adaptive process and allows operators to upskill their positions while enjoying better safety and well-being compared to the initial repetitive and labor-intensive process. Furthermore, the move from manual to robotic automation will let Leonardo leverage the full benefits of process engineering compared to a manual operation in which experience is often passed between technicians in a non-standard way.

Technical collaboration
Looking at the technical collaboration in more detail, each of the companies has shared specific competencies to optimize the end-to-end inspection process. These include intelligent algorithms and advanced path planning that allow the robot to see and respond to its surroundings, as well as a comprehensive data acquisition and processing infrastructure that facilitates optimized sound and image recognition. As the blades are mechanically stimulated by the smart robot, the sound response is both recorded and photographed using a multi spectral camera in order to detect hidden and superficial defects.

Another powerful feature of the system is that it automatically senses the environment. It first localizes the blade, which has been placed on its supports by the operator, detects any obstacles and then calculates both cycle time optimization and collision free path planning. All this technical complexity is hidden behind a simple and effective user interface based on low code programming. This allows the operator to program the robot using simple, human commands: look for the blade, find the position and execute the action required. In doing so, the solution shifts the operator’s role from executing repetitive and labor-intensive tapping tasks to leveraging their experience when programming the robot to run the now standardized process.

Such intelligent automation helps reduce the seeming complexity of processes and optimize their outcome by enabling the robot to perceive and see its surroundings, automate its decision making and intuitively optimize the inspection processes. This grants greater flexibility without sacrificing precision or repeatability.

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