Over the last 15 years of experience, IT+Robotics has been developing a strong and varied background in scientific research and a deep knowledge of industrial processes.
IT+Robotics designs and develops customized solutions for its customers. The IT+Robotics R&D team works closely with the customer in order to transform the client’s need into a reliable and robust solution that simplifies, optimizes and increases flexibility in the industrial production process.
Thanks to the constant study, to the close relationship with the University of Padua and to the collaboration with some of the most important European research centers, IT+Robotics is able to stay in touch and work with the latest and most innovative technologies, while prioritizing ease of use, robustness and reliability required by actual industrial solutions.
IT+Robotics also participates in international research projects to identify and develop new technologies for the constant improvement of its products and projects.
In progress or recently completed
A European Project developing 3D vision system for collaborative draping of carbon fiber parts
The project aims to develop a visual inspection system able to automatically configure the set of control parameters, learning from the choices made by an expert operator
Automatic Mapping of Fibre Orientation for Draping of Carbon Fibre Parts.
Efficient 3D Completeness Inspection.
TRINITY / EACHPack
Automatic picking and managing of cardboard boxes and parcels for logistics and shipments: a project part of TRINITY.
The project SPIRIT aims to develop an “inspection skill” for robots that takes the step from programming of complex inspection tasks to configuring such tasks.
Smart Fish Picking Enhanced with Weight Inference
ThermoBot – Autonomous robotic system for thermo-graphic detection of cracks.
An AI guided robot able to execute multiple tasks for metal and composite materials’ manufacturing
IT+Robotics objective within the EU ROCHI project, is to develop a generic framework that solves the coverage and path planning problem for inspection tasks.