ORIGAMI

Object reconstruction and instant pose assessment for the automation of intralogistics and manufacturing operations.

The ORIGAMI project develops an advanced perception-driven robotic technology to enhance BitMetrics’ Pick[+] solution, enabling robots to manipulate unknown, moving, and cluttered objects in real time. The project combines automatic 3D reconstruction with visual servoing in a unified closed-loop framework, allowing robot actions to be continuously updated based on live visual input.

ORIGAMI offers a highly accurate, adaptive, and versatile alternative to traditional picking systems, which often separate perception and motion planning and struggle to respond to unexpected object movements or dynamic environments. By generating real-time reconstructions to guide manipulation, alongside high-quality offline models for further optimization, the project aims to significantly increase autonomy, productivity, and reliability in manufacturing and intralogistics operations.

The project addresses the growing industrial need for robots capable of operating in unstructured environments, reducing manual intervention and supporting more flexible production and logistics processes. Its inherently interdisciplinary approach combines expertise in computer vision, robotics, motion planning, and real-time control.

Eurecat participates in the project through its Robotics and Automation unit, contributing with its expertise in applied R&D, advanced technological services, IT consulting, and specialized training for industry.

The ORIGAMI project is coordinated by BitMetrics, a deep-tech startup specialising in vision-based industrial automation and developer of robotic manipulation solutions such as Pick[+] and Pick[+] Palletizer, as well as the Scan[+] visual inspection system.