TECHNICAL GUEST POST: Reactive grasping using tactile sensors (Fraunhofer-IFF)

September 18, 2019

Industrial bin-picking applications usually involve a vision system. These systems identify and localize the objects to be picked, and also often suggest an optimal picking strategy. In such situations, the robot moves from its original position to the defined grasp position of the object inside the bin (as defined by the vision system), grasps the object, and moves it to the final placing position. However this whole process raises some …Read More

TECHNICAL GUEST POST: Human-aware motion planning (CNR-STIIMA)

September 3, 2019

What does human-aware motion planning mean? In human-robot collaborative cells, one of the main problems is represented by the robot’s stopping or slowing down due to the human presence. The origin of this problem is the lack of awareness of the robot with respect to the human motions. In fact, motion planners take care of the current human position as a mere obstacle or they do not take care of …Read More

TECHNICAL GUEST POST: Multifunctional gripper (Mondragon Assembly)

August 27, 2019

What technologies are necessary to optimize the use of a multifunctional gripper? The use of bin-picking applications is increasing in the industry. Generally speaking, these applications allow to carry out operations of picking up different products from a box, previously chosen through a vision system. When picking different products, they can be different in shape, weight and form. To ensure that an object is picked up, a technology capable of …Read More

TECHNICAL GUEST POST: Object selection and detection (IK4-TEKNIKER)

July 24, 2019

Which approach are you using for object selection and detection within the PICK-PLACE project? Due to the large number of references that the system needs to be able to cope with, we are using a deep learning based approach for object identification, segmentation and grasping point selection. There are different steps involved in order to generate a deep learning model. First, a dataset with images of different objects needs to …Read More

PARTNER PROFILE: CNR-STIIMA (Italy)

February 18, 2019

In this series, members of the PICK-PLACE consortium are portrayed. After TOFAŞ ULMA Handling Systems, Mondragon Assembly and IK4-TEKNIKER it’s the turn of CNR-STIIMA. Researcher Manuel Beschi answers the interview. What is CNR-STIIMA? The Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA) belongs to the National Research Council of Italy (CNR), the largest public research center in Italy. The research activities of STIIMA are focused on the Manufacturing sector, …Read More

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