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

PROJECT NEWS: PICK-PLACE presented at industrial forum in Eibar, Spain

June 21, 2019

Last month, PICK-PLACE was presented at a forum on advanced industrial solutions, including fields such as robotics, laser and machining for manufacturing, Zero Defect Manufacturing (ZDM), talent management in SMART environments, and other relevant trends. The forum, entitled “What and how will be produced in 2050?” was organized by IMHE in collaboration with research centers ACORDE, IK4-TEKNIKER and IK4-IDECO, and hosted by project parner IK4-TEKNIKER at their headquarters in Eibar …Read More

PROJECT NEWS: PICK-PLACE at ERF 2019 (A summary)

April 29, 2019

Last month, some members of the PICK-PLACE consortium attended the European Robotics Forum (ERF) 2019, which took place in Bucharest (Romania), on March 20-22 2019. The Forum has been an excellent occasion to learn about the latest innovations in the field, and has provided interesting feedback for our project. Ander Iriondo, researcher at IK4-TEKNIKER, answers the interview. As IK4-TEKNIKER, why did you decide to attend ERF 2019? ERF is a …Read More

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