The CableBOT project deals with a novel methodology for designing, developing and evaluating cable robots customised for the automation in large-scale auxiliary processes. Parallel cable robots extend the payloads and workspace of conventional industrial robots by more than two orders of magnitude.
The main objective is to develop a new generation of modular and reconfigurable robots able to perform many different steps in the post-production of large-scale structures. Three key technologies will be developed:
a) Design of Cable Robot: Software tools to design the layout and geometry of cable robots,
b) Industrial Process Planning: Simulation of cable robots to verify the operation of cable robots in environments with large-scale structures
c) Control Algorithms and Systems: Distributed control and kinematic transformation to operate modular cable robots.
Two application examples are targeted in close cooperation to industry: aeronautical applications of maintenance and the handling of construction beams. In both cases existing automation can hardly be used due to manoeuvrability of heavy and big parts and the risk associated. The results are feasible for many other fields including large-workspace movements of products, with impact in logistics, transport, and warehousing.
The exploitation and commercialization of CableBOT are driven by VICINAY CEMVISA, the application of industrial scenarios, two end-users of different sectors - EADS and ACCIONA - will automate their currently manual post-production. TECNALIA provides the technology for simulation in terms of productivity, cost, safety and robustness, whereas the design of the robots is in charge of LIRMM and INRIA. IPA and UDE are in charge of the control algorithms, on distributed and force control of redundant systems.
Benefits include an increase of production efficiency, a wider range of products, light and reconfigurable structure mechanisms and adaptable and more flexible operator assistance systems
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Régime de financementCP-FP - Small or medium-scale focused research project