02 Oct 2023
effra event

SMARTHANDLE participated in the "The Manufacturing Partnership Day" 2023 event, organized by EFFRA

📣 On September 26th #SMARTHANDLE participated in the "The Manufacturing Partnership Day" 2023 event, organized by EFFRA.

31 Jul 2025
alumil packaging

Advancing packaging at ALUMIL: ALUMIL's progress with the SMARTHANDLE Project

As part of the SMARTHANDLE project, ALUMIL is developing a dual-arm robotic packaging solution for handling large, multi-variant aluminium profiles. In collaboration with the University of Patras, this pilot aims to boost packaging efficiency, reduce errors, and improve worker safety, while paving the way for smarter, more flexible manufacturing.

21 Jul 2025
UPC1

Motion planning with geometric constraints

UPC has developed a motion planning framework within SMARTHANDLE to enable flexible, constraint-based robot movements for industrial tasks. Built on OMPL and integrated into the Kautham platform, it allows easy configuration, 3D visualization, and real-world testing, enhancing robot adaptability in scenarios like assembly and manipulation.

02 Jul 2025
Prototype 1

From proof-of-concept to full prototype: Smart handling in automated manufacturing

The SMARTHANDLE project has delivered custom prototypes for automating Menicon’s contact lens production, including a smart gripper with tactile feedback and a flexible transport system. Developed with Demcon and STT Products, these solutions are now entering real-world testing ahead of integration into the pilot production line.

09 May 2025
KUKA application sequence

Dual-arm robot system for aluminium profile handling

KUKA is contributing to the SMARTHANDLE project by developing a dual-arm robotic system for automated aluminium profile handling. The setup features advanced 6D pose estimation, AI-driven grasp selection, and collision-free motion planning, supported by impedance control for safe operation. Initial tests were successful, and future improvements will focus on enhancing pose accuracy, integrating smarter grasp planning, and adopting adaptive, object-based path execution.


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