Towards Innovation in Pick&Place and Bin-Picking Robots

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Towards Innovation in Pick&Place and Bin-Picking Robots


From 24 to 28 April 2017, the FlexSight consortium will showcase the first prototype of the novel FlexSight sensor at Hannover Messe.

The FlexSight experiment aims to design a compact RGB-D smart camera for pick&place and bin picking applications. This camera integrates all the required sensors and powerful processing units suitable to run object detection and localization algorithms. At Hannover Messe, we will present an early but working version of the sensor with a real random bin-picking demo.

FlexSight at Hannover Messe: Hall 17, stand C70 (inside the Echord++ project booth)

The FlexSight sensor will integrate all the required sensors to perceive both the 3D structure and visual appearance of the working area and an embedded powerful processing unit. This synergy allows to exhaustively recognize and localize objects, giving a direct feedback to the robot without needing external processing units.

By exploiting state-of-the-art techniques in computer vision, the FlexSight sensor is capable to localize also deformable objects that can be commonly found in many industrial and logistic applications.

About the FlexSight Project


The FlexSight experiment is funded by the European Community’s project ECHORD++. FlexSight is a research project that involves: the Ro.Co.Co. Laboratory of DIAG (Department of Computer, Control, and Management Engineering at Sapienza University of Rome), which provides expertise in software design and development for robotic perception applications; IT+Robotics, which provides expertise in the industrial robotics domain ; and Robox, a company specialized in the development of innovative hardware and software solutions for robotics and control systems.


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 into the chassis of an existing robot to empower it with detection and localization capabilities. The main objectives of the FlexSight experiment are:


  • 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.
  • 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.
  • Integrate the FSS within a working system that will be tested in several industrial and logistic use cases.


To learn more about the FlexSight sensor, please contact the project coordinator:

Alberto Pretto,

Department of Computer, Control, and Management Engineering
Sapienza University of Rome

Via Ariosto 25 I-00185 Roma, Italy

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