Go to Top


Project milestone: Setup of pilot scenarios (ULMA and TOFAS)

Once the working constraints due to the first COVID-19 wage were over (included the lockdown), PICKPLACE team returned to the ‘normal’ activity. The main task has been the setup of the two pilot scenarios in the project: ULMA and TOFAS. ULMA Pilot Scenario has been designed to implement the two types of activities that are present in a logistic center, i.e., order preparation and order return management, being the first …Read More

INDUSTRIAL GUEST POST: UHS scenario and the future of pick-and-place

Market situation: Logistics 4.0 The logistic market is changing rapidly and a transformation is taking place from B2B and B2C to C2B, where the customer is the driving force behind the activity. A radical change is occurring in value-added processes. It is the era of Logistics 4.0. In this context, ULMA has shown its capabilities during last years to develop fully automated solutions in the retailing sector. But there is …Read More

Project update: Covid-19 crisis impact and action plan

PICK-PLACE project, like almost everything else on a global scale, is being affected by the Covid-19 crisis. Needless to say, health and safety are our top priority right now. Most members of the consortium have temporarily closed their facilities and partners are working from home, following social distancing and containment guidelines. These measures also imply other limitations which are relevant for an EU research initiative, including restrictions for traveling and …Read More

Incorporating the industry’s perspective to PICK-PLACE

In the past weeks, a new section has been incorporated to PICK-PLACE project’s website, the “Forum” section, which gives access to an online survey. As explained in the Challenge and objectives section, the idea behind PICK-PLACE emerged from the lack of available solutions that answer the industry’s need to manipulate parts with high variability (in terms of size, shape or weight) or to do so in less structured environments.

PICK-PLACE mid-project review meeting

Last week, members of the PICK-PLACE consortium gathered for a mid-proyect review meeting at the European Forum in Luxemburg. The meeting was attended by all partners (ULMA Handling Systems, IK4-TEKNIKER, Mondragon Assembly, CNR-STIIMA, Fraunhofer-IFF and TOFAS) as well as by project officer Irene Sardellitti and expert Norbert Kruger.

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

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)

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)

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)

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

Project milestone: human-robot collaboration experiments

When are operators annoyed by the presence of a collaborative robot? When do they consider the robot as an effective collaborator? These questions are fundamental in a human-robot collaboration scenario. Task 1.2 of the PICK-PLACE project analyzes the role of motion-planner behavior on the operator’s feelings. An experimental campaign has been used to understand how humans are affected in their jobs by the presence of a robot. The results have been …Read More