FlexSight – Flexible and Accurate Recognition and Localisation System of Deformable Objects for Pick&Place Robots


The FlexSight experiment aims to provide a robotic solution for the “pick&place” class of applications with rigid and deformable objects. The project focuses on building a prototype smart camera – the FlexSight Sensor (FSS) – which can be integrated in the chassis of an existing robot to empower it with detection and localisation capabilities. The main objectives of the FlexSight experiment are: (1) Enable a robot to perceive a large and widespread class of rigid and deformable objects in an accurate and reliable way, with a particular emphasis on the computational speed of the whole system. (2) Implement a prototype of a compact industrial sensor (the FlexSight Sensor, FSS), that integrates all the required sensing and processing needed to run the detection and localization algorithms inside a robust and small chassis. (3) Integrate the FSS within a working system that will be tested in several industrial and logistic use cases.




Sapienza University of Rome
Alberto Pretto
Email: pretto@dis.uniroma1.it
Internet: http://www.dis.uniroma1.it/~labrococo

Robox S.p.A. Roberto Montorsi
Email: r.montorsi@robox.it
Internet: http://www.robox.it/en-US

IT+Robotics S.r.l.
Stefano Tonello
Email: info@it-robotics.it
Internet: http://www.it-robotics.it