3D Perception & Sensing
3D workspace scanning for obstacle avoidance and a high-accuracy laser profilometer for adjusting path planning to actual geometries without preloaded CAD files.
Introducing WeldPro
Revolutionizing Custom Manufacturing Through Intelligent, Safe, and CAD-Free Human-Robot Synergy.
WeldPro delivers an operator-centered collaborative robotic welding cell that eliminates the need for expert robot programming or preloaded CAD files. Designed specifically to meet the high-mix, low-volume production needs of modern manufacturers, WeldPro empowers non-specialized operators to execute high-precision industrial welds safely on the workshop floor.
About the Project
WeldPro is an advanced collaborative Research & Development initiative co-funded by the European Union. By joining the robotic systems expertise of iKnowHow (IKH), the heavy marine and hydrogen-reactor manufacturing capabilities of Carell S.A., and the strategic commercialization insights of KiNNO, the WeldPro consortium is bridging the skills gap in high-tech manufacturing.
Instead of relying on rigid, expensive, and manual robot programming, WeldPro introduces a flexible, multi-sensor collaborative robotic cell built around the UR10e cobot. This compact, highly adaptable solution brings autonomous, secure, and clean manufacturing directly to dynamic industrial environments.
3D workspace scanning for obstacle avoidance and a high-accuracy laser profilometer for adjusting path planning to actual geometries without preloaded CAD files.
Inverse Kinematics (IK) algorithms, real-time servoing, and linear axis/rotary jig integration expand spatial reach by at least 20% to easily weld complex joint geometries.
Operators equipped with Microsoft HoloLens glasses visually overlay, verify, and approve planned welding trajectories and safety zones before striking an arc.
The Challenge & The Innovation
Workflow
Dynamic human-in-the-loop automation from initial scan to final verified weld.
The workflow connects environment scanning, seam selection, AI-assisted welding parameters, augmented reality verification, and real-time path adjustment.
01Environment scanning and 3D reconstruction
02Weld seam selection with simplified operator input
03Optimal welding parameter selection
04Augmented reality verification
05Path planning and real-time adjustmentKey Project Metrics
Measurable outcomes designed to strengthen European manufacturing through productivity, affordability, sustainability, and precision.
The skilled welder opening gap across European manufacturing.
Increase in overall workshop productivity through continuous, autonomous cobot operation.
Reductions in unit production costs for small-to-medium enterprises (SMEs).
Energy savings paired with a 10% decrease in CO2 emissions optimized by our DSS.
Incredible seam trajectory accuracy maintained dynamically by active closed-loop sensors.
CAD files or manual robot programming expertise required for customized welding tasks.
Project Description & Funding
Project Overview: WeldPro represents a major shift toward high-mix, low-volume manufacturing automation. By combining autonomous cobots with real-time 3D perception, dynamic tool swapping, and intuitive AR safety guidelines, WeldPro enables safe, clean, and highly efficient manufacturing. The system is undergoing thorough pilot trials under realistic industrial conditions at Carell S.A., achieving a proven Technology Readiness Level of TRL 8.
Official Funding Acknowledgement:
This research has been co-financed by the European Union and Greek national funds through the Program COMPETITIVENESS under the call RESEARCH – INNOVATE (project code: ΕΚΠΑΡ01-0051744).
The Consortium
The project is co-funded by the European Union and the Hellenic Republic through the Competitiveness 2021-2027 Programme as part of the NSRF 2021-2027 framework.
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IKH is attending the AREXPO 2026 at the Metropolitan Exhibition Center.
WeldPro logo, website and LinkedIn are live.
The official kick-off meeting took place in Athens in January 2026.
WeldPro project is approved for funding under project code EKPARI-0051744.
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