"ROBOTRACK" ROBOTRACK - DEVELOPMENT OF AN AUTOMATED SYSTEM FOR GENERATION OF COMPLEX TRAJECTORIES IN ROBOTS BASED ON LEARNING BY DEMONSTRATION DESCRIPTION The project proposes to advance in the development of techniques that allow speeding up the programming of robots by applying Learning by Demonstration techniques based on the results obtained in a previous project (COLEARNING 4.0 - Development of learning techniques for COBOTS based on human interaction and learning of reinforcement. IMDEEA/2020/22), in which the robot was able to reproduce movements and pressures previously performed by a person, although in an approximate way and with a manual treatment of the captured data. To delve into this automatic programming technique, the main objective of the project is to develop a learning-by-demonstration system for collaborative robots, based on an artificial vision system and sensors external to the robot, which allows complex tasks to be accurately reproduced immediately. after the human demonstration, using artificial intelligence algorithms for trajectory modeling and task execution. OBJECTIVES This project tries to take a further step in the development of systems that simplify the programming of collaborative robots. For this reason, the main objective of the project is to develop a learning-by-demonstration system for collaborative robots, based on an artificial vision system and sensors external to the robot, which allows complex tasks to be reproduced quickly after human demonstration, using intelligence algorithms. artificial for trajectory modeling and object recognition. The following are the specific objectives: - Development of an HMI interface to automate the capture of work sequences of the expert staff that performs the tasks to be reproduced, using the appropriate vision elements and sensors - Development of the self-learning robotic system platform as an autonomous system, which is capable of calculating trajectories and transferring data to the robot control in a real manufacturing environment from the captured sequences - Carry out a demonstration pilot to validate the developments carried out, taking as a use case the assembly of a product in collaboration with an expert person or another operation of similar complexity. Project Number: 22200073 Grant Agreement: IMDEEA / 2022/9 Duration: From 01/07/2022 to 30/09/2023 Coordinated in AIDIMME by: SÁNCHEZ ASINS, JOSÉ LUIS R&D Line: INDUSTRY 4.0 RESULTS OBTAINED Year 2023: A system has been developed that allows a simple and intuitive way to generate a robot program based on the initial demonstration of an expert operator in the manual execution to be automated. The evaluations carried out by the collaborating companies in the project have provided valuable information about the actions and activities to be developed to bring the initial prototype closer to the needs of the market in terms of robot programming through human demonstration. In view of the results obtained, the Robotrack system has been shown as a prototype of demonstration learning technology capable of facilitating the programming of robots to sanding processes for flat parts. A single operator in a period of between 5-10 minutes can generate, without prior knowledge of robot programming, a valid program for the robot model that will be in charge of automating the task. Deliverables:    PUBLISHED NEWS general broadcast https://actualidad.aidimme.es/2024/03/07/robotica-indust (...) https://actualidad.aidimme.es/2024/01/10/https-actualida (...) https://actualidad.aidimme.es/2023/10/18/fin-proyectos-2 (...) https://actualidad.aidimme.es/2023/10/02/aidimme-muestra (...) https://actualidad.aidimme.es/2023/04/04/proyectos/ (...) https://actualidad.aidimme.es/2023/01/24/aidimme-impulsa (...) https://actualidad.aidimme.es/2023/01/03/aidimme-resulta (...) https://actualidad.aidimme.es/2022/11/03/congreso-habita (...) https://actualidad.aidimme.es/2022/10/03/aidimme-feria-h (...) https://actualidad.aidimme.es/2022/07/13/proyectos-inici (...) https://actualidad.aidimme.es/2022/07/06/robotrack-inici (...) Technical dissemination, transfer https://actualidad.aidimme.es/2023/11/29/inteligencia-ar (...) https://actualidad.aidimme.es/2023/10/25/resultados-robo (...) https://actualidad.aidimme.es/2023/09/04/gemelos-digital (...) https://actualidad.aidimme.es/2023/02/01/robotrack-desar (...) GRANT 210.187,5 € TARGET AUDIENCE AND IMPACT MEASUREMENT 1647 Access to the project website 2147 Access to news published on own websites. Total Accesses: 3794 Objective Sectors by CNAE CNAE: 25 - Manufacture of metal products, except machinery and equipment - No. of target companies: 1 (0 from the Valencian Community) CNAE: 4652 - Wholesale of electronic equipment - Number of target companies: 116 (53 from the Valencian Community) CNAE: 7112 - Technical engineering services and others - Number of target companies: 431 (206 from the Valencian Community) Objective Sectors by Activity MANUFACTURERS - Number of target companies: 108 (39 of the Valencian Community) TRACTOR COMPANIES Thanks to its support and signature of the "declaration of participation" the project has been funded. FAMILY FOOD AND NUTRITION, SL PAINTINGS BLATEM, SL CFZ COBOTS, SL HURTADO RIVAS, SL IT8 SOFTWARE ENGINEERING, SL COMPANIES DIFFUSION R&D PROJECTS They want to know first-hand the evolution of the project, and its progress to the final result. COMPANIES TRANSFER KNOWLEDGE They will implement technologies, develop strategies or look for new models based on the results.