TRREX is a project made up of a consortium of 8 companies, led by IDNEO and with the participation of PROMAUT, which will develop a mobile industrial robot for the factories of the future.
The project companies have the financial support of the Center for Technological and Industrial Development (CDTI) within the framework of the CIEN Strategic Program of National Business Research Consortiums and will be actively collaborating with various research organizations, such as Leitat, Tekniker, Cartif , the Autonomous University of Barcelona (Computer Vision Center), the Motion Control and Industrial Applications Center of the UPC, the Institut de Robòtica i Informàtica Industrial (UPC-CSIC) and the CIRCE Foundation.
TRREX aims to achieve an 8-axis mobile robot that we call RREX (Extended Range Robot). This robot will be obtained from the fusion of a mobile robot and a robot arm and the whole will be controlled as a single robot. It is intended to achieve platforms that can be used regardless of the combination of mobile platform and robot arm.
The RREX will have different technologies for the autonomous navigation of the robot: use of algorithms in the state of the art of SLAM, for example, PoseSLAM; convoy navigation of a RREX fleet for processes on large pieces; use of 3D lidar systems to implement RREX security.
Induction charging technologies will be developed to facilitate and reduce robot loading times. This will allow the RREXs to be charged both while performing on-the-go tasks and in work cells. This technology is complemented by research into a hybrid power pack that allows for fast charging and long-lasting storage.
The project seeks to make the RREX easy to program by a user without knowledge of robotics. For this, communication systems with the robot through gestures and a rapid system for planning robot movements by demonstration, geometry or previous design will be investigated. To facilitate RREX fleet scheduling, a system of tasks and recipes will be created that can be reused and exchanged between them. In this way, it will only be necessary to program one RREX and all the RREXs, regardless of the platform and on-board robot, will be able to carry out the programmed task.
In addition, given that the mobility of the RREX will potentially allow dealing with different machines, M2M protocols will be investigated for easy interaction with them without the need for explicit programming. Using these protocols that will allow discovering the capabilities of the machine, the automatic generation of robot logic will be carried out from the discovery of capabilities and description of the task.
Finally, the factory processes will be virtualized by introducing the possibilities of RREX. The use cases will develop 3D Bin picking technologies with visible light projection, realization of a new ultra-precision marking process for aesthetic purposes on components with complex geometries and / or chrome surfaces, and a dynamic task planner based on machines. state with strong time constraints and artificial intelligence.