Impact of Modified Bin Picking Container

Industrial Bin Picking (IBP) is a central automation objective in factory automation systems. To evaluate the performance of Industrial Bin Picking Applications (IBPAs), the emptying rate τ is utilized as a central criterion. Besides vision based algorithms and other software proposed solutions to ensure a high emptying rate τ, there are no known hardware approaches to an optimized Bin Picking Container (BPC). This contribution aims to evaluate the impact of modified containers towards a maximized emptying rate τ in IBP. The emptying rate τ is measured along a series of simulations and experiments with different containers to compare the effect of modifications on its properties to validate the changes on container that lead to reach a better performance of the IBPA. The results provide a design template and knowledge on the effect of modifications to the properties of the container to apply as a guideline according to each IBP use case.