PICK-PLACE focuses on flexible, safe and dependable robotic part-handling in industrial environments. The project proposes a combination of human and robot capabilities in order to achieve this efficient hybrid pick-and-place / pick-and-package solution. It includes dynamic package configuration, flexible grasping strategies using an innovative multifunctional gripper, robust environment perception and mechanisms and strategies for human-robot collaboration.

Learn more about PICK-PLACE

−

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

November 4, 2020

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 the most relevant from the industrial point of view and the second the more challenging from the technical perspective.

In this scenario, parts are transported inside plastic boxes that are managed by the SGA, a proprietary software of ULMA to manage the central warehouse. The SGA is in charge of sending the boxes to the preparation area in the proper sequence. The boxes are transported by means of conveyor belts and conveyor rollers. Read more

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

October 13, 2020

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 still a considerable scope for further improvement related to multireference order preparation, more specifically for small, morphology and weight independent solutions. And that specific field of order preparation is the one that ULMA would like to improve during the course of this project. Read more