SMERobotics CLARiSSA

The participation of SARKKIS on the FP7 SMERobotics project.

SARKKIS Robotics is focused on the development of the future of advanced robotic systems. SARKKIS Robotics participates in FP7 SMErobotics project consortium (www.smerobotics.org) that is the European Robotics Initiative for Strengthening the Competitiveness of SMEs in Manufacturing is set to bring cognitive robotics from vision to reality in a key segment of EU-manufacturing. This project is led by the Fraunhofer IPA, and involves 25 partners, including some of the best research institutions in Europe.
SARKKIS Robotics participates in the Demonstrator 5 – CLARiSSA that stands for (Cooperative DuaL-Arm Robot for Structural Steel fAbrication) together with INESC TEC and NORFERSteel. This demonstrator will develop a innovative cooperative robot for welding operations in assembly tasks for structural steel fabrication. SARKKIS is in charge of the development of the software for reading structural steel project files (IFC 4.0) and advanced robot path planning.

Demonstrator scenario:

The structural steel construction pre-production is
mainly composed by cutting and welding of substructures that are later assembled on site. Among these operations cutting, drilling and marking present nowadays a reasonable level of automation, either using mechanical tools or thermal processes (plasma or oxy-fuel). On the other hand, the full automation of the welding operations is rare and requires machines that are not suitable for the SME scenario due its complexity, upstream material dimensional control, cost, space requirements.

 

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To address these issues the CLARiSSA project proposes the development of a dual-arm cooperative robot to perform the welding of small parts in beams in the SME context. It will be based in the
SMERobotics D1 COMAU dual-arm robot with the following innovative characteristics:

1. Seamless integration with structural detailing software (IFC/CAD) and advanced sensing to deal with geometric uncertainties and part localization.
2. Human robot cooperation for handling uncertainties, such as the lack of CAD/IFC information p.e., and reduce complexity
3. Reduced foot-print by enabling physical integration with existing equipment, namely sawing and drilling machines.

 

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Update 1:

Intermediate results on IFC integration and path planning: