Periodic Reporting for period 3 - ODIN (Open-Digital-Industrial and Networking pilot lines using modular components for scalable production)
Periodo di rendicontazione: 2024-01-01 al 2024-12-31
Despite the fact that robots have very well proven their flexibility and efficiency in mass production and are recognized as the production resource of the future, their adoption in lower volume, diverse environment is heavily constrained due to:
• Low customization and deploy ability
• Non autonomous collaborative robots
• Lack of compatibility
• Lack of reconfigurability
• Lack of cognition for robust autonomy
The vision of ODIN is: to demonstrate that novel robot-based production systems are not only technically feasible, but also efficient and sustainable for immediate introduction at the shopfloor” by following five distinct objectives:
• Enabling the introduction of mobile, autonomous, environment aware and collaborative robotics in industrial settings.
• Creating digital validation tools for these robotic systems in order to allow scalability with minimum complexity and integration.
• Commercializing an advanced robotics integration platform able to link the robotics design and development stage with the normal production conditions.
• Deploying full scale demonstrators in different production sectors to serve as a token of the industrial grade performance of the ODIN production systems.
• Create innovation ecosystem to enable sustainability of open Pilot Lines – involving robotic application stakeholders and inspiring further deployment.
The ODIN Large Scale Pilot concept has been established and validated, providing thus proof that robotic systems can be deployed in modular and reconfigurable ways, meeting the needs of diverse industries. Its success not only enhances the capabilities of European manufacturing but also strengthens the trust of production companies in advanced robotics. The outcomes of ODIN lay the groundwork for future developments in industrial robotics, ensuring that smaller companies and flexible production environments can benefit from cutting-edge technologies. The project's commitment to safety, flexibility, and performance in human-robot collaboration will serve as a blueprint for future industrial applications.
• Low customization and deploy ability
• Non autonomous collaborative robots
• Lack of compatibility
• Lack of reconfigurability
• Lack of cognition for robust autonomy
The vision of ODIN is: to demonstrate that novel robot-based production systems are not only technically feasible, but also efficient and sustainable for immediate introduction at the shopfloor” by following five distinct objectives:
• Enabling the introduction of mobile, autonomous, environment aware and collaborative robotics in industrial settings.
• Creating digital validation tools for these robotic systems in order to allow scalability with minimum complexity and integration.
• Commercializing an advanced robotics integration platform able to link the robotics design and development stage with the normal production conditions.
• Deploying full scale demonstrators in different production sectors to serve as a token of the industrial grade performance of the ODIN production systems.
• Create innovation ecosystem to enable sustainability of open Pilot Lines – involving robotic application stakeholders and inspiring further deployment.
The ODIN Large Scale Pilot concept has been established and validated, providing thus proof that robotic systems can be deployed in modular and reconfigurable ways, meeting the needs of diverse industries. Its success not only enhances the capabilities of European manufacturing but also strengthens the trust of production companies in advanced robotics. The outcomes of ODIN lay the groundwork for future developments in industrial robotics, ensuring that smaller companies and flexible production environments can benefit from cutting-edge technologies. The project's commitment to safety, flexibility, and performance in human-robot collaboration will serve as a blueprint for future industrial applications.
ODIN partners were able to achieve the project objectives and validate the execution of all large-scale pilot demonstrators at end users’ sites through the integration of technological results:
• Automotive pilot line: The automotive pilot line investigates the assembly process of a vehicle car engine. The selected assembly process is divided in 3 different operations : a) motor and gearbox connection b) additional parts installation on the assembled motor and c) quality inspection of screws, connectors and other parts of the motor and gearbox assembly.
• Aeronautics pilot line: The aeronautics pilot line focuses on the automation of the tasks required for A320 Neo Fan-cowls production using a mobile dual robot. The involved operations are: a) template base drilling operations, b) safe autonomous transportation and c) assembly inspection.
• White Goods pilot line: The white goods pilot line is focused on making customization easier and improving the current robot solution in the white goods industry. This pilot case is centralized on Human – Robot Collaboration for the transformer’s installation in an oven but also cooktops and knobs placement on the top of a cooktop burner.
Overall, ODIN consortium managed to showcase the successful validation of TRL7 for the three large-scale pilot lines, incorporating the following exploitable results:
• Autonomous mobile manipulators for collaborative operations
• Mobile robot screwing on moving part
• High payload robot in-line hand guiding system manipulation
• Reconfigurable tools for parts’ manipulation
• 3D-modeling based inspection of aeronautics parts
• Navigation with 3D sensor information to transport big parts on attached cart with full collision avoidance
• Perception skill library for flexible robotics
• ML solution for quality inspection of automotive engines
• Flexible programming toolbox
• Environment monitoring and robot control SW library
• AR Suite for collaborative assembly operations
• VR-based safety training
• Data model of resource descriptions and web service
• Digital twin using sensor data fusion
• ODIN Simulation Library
• Model based task planner
• Virtual commissioning module
• OpenFlow Platform
• Digital twin protection framework and threat analysis toolkit
• Risk assessment, virtual safety components and safety validation methods for industrial deployment
In terms of dissemination, the ODIN partners have produced the following core results/metrics:
• 17 scientific papers to international conferences and journals
• 3 MSc thesis have been published related to ODIN results
• 9 public videos have been uploaded to the official YouTube channel of the project presenting the results of ODIN
• 8 Newsletters and 4 press releases
• 10 industrial workshops at large-scale pilot lines (STELLANTIS, AEROTECNIC, BEKO) and 2 public industrial workshops at AIC premises demonstrating the results of the project and showcase ODIN solution’s effectiveness to industrial companies invited at the Automotive Smart Factory.
• Automotive pilot line: The automotive pilot line investigates the assembly process of a vehicle car engine. The selected assembly process is divided in 3 different operations : a) motor and gearbox connection b) additional parts installation on the assembled motor and c) quality inspection of screws, connectors and other parts of the motor and gearbox assembly.
• Aeronautics pilot line: The aeronautics pilot line focuses on the automation of the tasks required for A320 Neo Fan-cowls production using a mobile dual robot. The involved operations are: a) template base drilling operations, b) safe autonomous transportation and c) assembly inspection.
• White Goods pilot line: The white goods pilot line is focused on making customization easier and improving the current robot solution in the white goods industry. This pilot case is centralized on Human – Robot Collaboration for the transformer’s installation in an oven but also cooktops and knobs placement on the top of a cooktop burner.
Overall, ODIN consortium managed to showcase the successful validation of TRL7 for the three large-scale pilot lines, incorporating the following exploitable results:
• Autonomous mobile manipulators for collaborative operations
• Mobile robot screwing on moving part
• High payload robot in-line hand guiding system manipulation
• Reconfigurable tools for parts’ manipulation
• 3D-modeling based inspection of aeronautics parts
• Navigation with 3D sensor information to transport big parts on attached cart with full collision avoidance
• Perception skill library for flexible robotics
• ML solution for quality inspection of automotive engines
• Flexible programming toolbox
• Environment monitoring and robot control SW library
• AR Suite for collaborative assembly operations
• VR-based safety training
• Data model of resource descriptions and web service
• Digital twin using sensor data fusion
• ODIN Simulation Library
• Model based task planner
• Virtual commissioning module
• OpenFlow Platform
• Digital twin protection framework and threat analysis toolkit
• Risk assessment, virtual safety components and safety validation methods for industrial deployment
In terms of dissemination, the ODIN partners have produced the following core results/metrics:
• 17 scientific papers to international conferences and journals
• 3 MSc thesis have been published related to ODIN results
• 9 public videos have been uploaded to the official YouTube channel of the project presenting the results of ODIN
• 8 Newsletters and 4 press releases
• 10 industrial workshops at large-scale pilot lines (STELLANTIS, AEROTECNIC, BEKO) and 2 public industrial workshops at AIC premises demonstrating the results of the project and showcase ODIN solution’s effectiveness to industrial companies invited at the Automotive Smart Factory.
Summarizing, the ODIN project investigated a set of core enabling technologies enhancing Human-Robot Collaboration (HRC) in industrial shopfloors. The project focused on utilizing collaborative robotics in a more scalable and robust way. The dexterity and reconfigurability which is promoted by ODIN solution are expected to exploit the capabilities provided by collaborative robots. This will allow further automation of manual operations, easy re-adaptation and autonomous decision making in HRC shopfloors.
ODIN will continue to influence robotics in agile production through the following lasting impact aspects:
• Minimization of programming efforts by expert and non-expert users due to the easy robot programming module of TECNALIA and the programming feature of the AR operator support application of LMS.
• Higher products' quality based on ODIN quality inspection modules for assembled parts’ evaluation and robots’ ability to execute tasks with high accuracy.
• Increased reconfigurability of assembly lines able to handle the assembly of multiple product variants.
• Increased human operators’ safety due to safety sensors installation.
• Reduction of operator non-friendly tasks.
• Reduction of downtime through the introduction of autonomous mobile manipulators of TECNALIA and COMAU increasing the reconfigurability of synchronous manufacturing shopfloors.
• Occupied floor space reduction due to mobile robots’ ability to autonomously navigate in the shopfloor and undertake tasks in different workstations.
• Filling human skill gaps through the multi sensorial perception capabilities and the OpenFlow orchestrator of ODIN which links robot and human resources.
• Adaptation to planned / unplanned production fluctuation based on the ODIN AI based Task planner module.
• Integration of OpenFlow with the Skill Engine, in order for scheduling changes being easily absorbed and transferred to the execution with the robots in a transparent way for them.
• Robustness in performance and increased reliability/availability of the production systems based on the perception and the mobility of resources.
• Enhanced performance in terms of handling market, plant and product variability.
• Reduction of cost due to the decreased time needed for assembly lines’ reconfiguration but also reusable safety sensors and functions.
ODIN will continue to influence robotics in agile production through the following lasting impact aspects:
• Minimization of programming efforts by expert and non-expert users due to the easy robot programming module of TECNALIA and the programming feature of the AR operator support application of LMS.
• Higher products' quality based on ODIN quality inspection modules for assembled parts’ evaluation and robots’ ability to execute tasks with high accuracy.
• Increased reconfigurability of assembly lines able to handle the assembly of multiple product variants.
• Increased human operators’ safety due to safety sensors installation.
• Reduction of operator non-friendly tasks.
• Reduction of downtime through the introduction of autonomous mobile manipulators of TECNALIA and COMAU increasing the reconfigurability of synchronous manufacturing shopfloors.
• Occupied floor space reduction due to mobile robots’ ability to autonomously navigate in the shopfloor and undertake tasks in different workstations.
• Filling human skill gaps through the multi sensorial perception capabilities and the OpenFlow orchestrator of ODIN which links robot and human resources.
• Adaptation to planned / unplanned production fluctuation based on the ODIN AI based Task planner module.
• Integration of OpenFlow with the Skill Engine, in order for scheduling changes being easily absorbed and transferred to the execution with the robots in a transparent way for them.
• Robustness in performance and increased reliability/availability of the production systems based on the perception and the mobility of resources.
• Enhanced performance in terms of handling market, plant and product variability.
• Reduction of cost due to the decreased time needed for assembly lines’ reconfiguration but also reusable safety sensors and functions.