Industrial robots are widely used in repetitive manufacturing operations, but there is a limited flexibility regarding the uses of each robot, as they usually work in units designed to carry out particular tasks in the optimal way.
European manufacturing companies offering new products attempt to react quickly to market changes, facing a series of limitations with industrial robots:
• Time consumed in the installation of the robotic cell for new operations or products.
• Inability to learn, specialised in repeating programmed operations.
• Limited or no mobility.
• Safety requirements: segregated environments, away from human workers.
• Specific process tools, require specific tool changers, adding costs and complexity to the robot.
COROMA modular platform is an innovative development in itself: the project has developed seven modules to improve the performance of already existing robotic systems:
• CORO-OPTIP: this module equips the robot with process awareness to detect, for example, vibrations during drilling that will trigger a reaction, or check tool wear if a sanding operation is being carried out.
• CORO-MOB provides the robot with mobility, so it can move autonomously through the workshop.
• CORO-SAFE offers artificial vision so that the robots can detect the presence of humans and make way.
• CORO-COOP focuses on providing developments for a communication platform so that the robot can interact with other machines and robots.
• CORO-SENSE is a vision module implemented by means of camera systems and laser technology, so that it can understand the environment and find the part on which they must work.
• CORO-PROG minimum programming module allows the robot to respond to operator’s instructions, and to respond to visual instructions in a simple way.
• CORO-HAND allows the robot to pick up tools and provide the system with dexterity.
The COROMA project has applied these developments to three different industrial scenarios: shipbuilding, energy and aeronautics.
The three prototypes have been trialed and validated in complex tests.