%0 Conference Proceedings
%T Gripper Types and Components in Robotic Bin Picking
%+ Chalmers University of Technology [Gothenburg, Sweden]
%+ Università degli Studi di Padova = University of Padua (Unipd)
%A Fager, Patrik
%A Rossi, Stefano
%A Hanson, Robin
%A Medbo, Lars
%A Salunkhe, Omkar
%A Johansson, Mats, I.
%A Fast-Berglund, Åsa
%Z Part 7: Supply Chain Planning and Optimization
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Novi Sad, Serbia
%Y Bojan Lalic
%Y Vidosav Majstorovic
%Y Ugljesa Marjanovic
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems
%V AICT-591
%N Part I
%P 267-274
%8 2020-08-30
%D 2020
%R 10.1007/978-3-030-57993-7_31
%K Kit preparation
%K Robot grippers
%K Order picking
%Z Computer Science [cs]Conference papers
%X While automation is increasingly applied in production processes, it is still rarely used for the core picking activity in kitting and order picking. As picking activities often involves a large number of stock-keeping units (SKUs) with different characteristics, what gripper to use is a central aspect when robotics is applied. The aim of this paper is to improve the understanding of the relationship between gripper types and component characteristics in robotic applications for preparation of component kits. The aim is addressed by means of an experiment in a laboratory setting where a two-finger gripper and a vacuum-gripper are applied for grasping a variety of components in a kit preparation process. The two gripper types are studied with respect to important component characteristics for their suitability, and how the two gripper types compare from an efficiency standpoint. The paper’s findings are useful for practitioners when introducing robotic bin picking. The paper also makes an important contribution to academia in studying the effects of robot picking applications empirically, laying grounds for focused future studies within this area.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-03630862/document
%2 https://inria.hal.science/hal-03630862/file/497439_1_En_31_Chapter.pdf
%L hal-03630862
%U https://inria.hal.science/hal-03630862
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-591