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Eyes and brains for your robot: With its innovative hardware and software products, Roboception GmbH, based in Munich, is a pioneer in 3D sensor technology. Our 3D stereo sensor rc_visard enables robotic systems to reliably perceive their environment in real time; the complementary rc_reason software suite offers application-specific modules to add on as needed for your individual tasks. Intuitive user interfaces make the implementation as easy as can be: Users, even without any prior robot vision experience, will be able to deliver task-relevant information such as grasp points with just a few mouse clicks. We combine both classical and AI-based methods to give the robots eyes – and hence deliver key elements of our customer’s most forward-looking automation solutions in domains like logistics, automation and beyond.
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Roboception Introduces ItemPickAI Software Module
POSTED 02/09/2025
Together with its new software image 25.01.0, Roboception has also launched its software product rc_reason ItemPickAI.
The new rc_reason ItemPickAI software enables an AI-based grasping a precisely oriented placement of so-called ‘unseen’ objects – i.e. objects, that the system has not explicitly learned by teaching models or previously seen in training data.
ItemPickAI enables an automated separation and an oriented placement even of deformable objects: Robotic palletizing and unpacking of bags, sacks and various pouch packaging can hence be implemented precisely and efficiently.
This new AI-supported solution for robotic pick-and-place applications using suction grippers calculates grasp points on unknown, deformable objects. These objects can be coming from chaotic boxes or load carriers; unmixed and mixed configurations are possible, as is an oriented placement.
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July 22-23, 2025
Hyatt Regency, Minneapolis, MN
A vision system comprising a 3D stereo sensor (rc_visard/ rc_visard NG or rc_viscore) and the ItemPickAI Module reliably detects and segments unknown objects with uneven surfaces and deformable filling. It provides a robot with precise grasp points for an efficient handling of the objects via a suction gripper. A robust segmentation of the units is ensured by the use of neural networks.
Applications lie not only in classical automation, but also in the field of logistics: Using ItemPickAI, a robot can pick disordered and crushable objects from a crate and place them in an aligned position, or unpack pallets and place objects on e.g. a cross-belt sorter.