{"status":"public","_id":"2776","citation":{"ieee":"C. Schwan and W. Schenck, “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking,” in <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i>, 2022, pp. 291–303.","chicago":"Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” In <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i>, edited by Jürgen Jasperneite and Volker Lohweg, 291–303. Technologien für die intelligente Automation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. <a href=\"https://doi.org/10.1007/978-3-662-64283-2_21\">https://doi.org/10.1007/978-3-662-64283-2_21</a>.","apa":"Schwan, C., &#38; Schenck, W. (2022). Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking. In J. Jasperneite &#38; V. Lohweg (Eds.), <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i> (pp. 291–303). Berlin, Heidelberg: Springer Berlin Heidelberg. <a href=\"https://doi.org/10.1007/978-3-662-64283-2_21\">https://doi.org/10.1007/978-3-662-64283-2_21</a>","short":"C. Schwan, W. Schenck, in: J. Jasperneite, V. Lohweg (Eds.), Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, Springer Berlin Heidelberg, Berlin, Heidelberg, 2022, pp. 291–303.","alphadin":"<span style=\"font-variant:small-caps;\">Schwan, Constanze</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking. In: <span style=\"font-variant:small-caps;\">Jasperneite, J.</span> ; <span style=\"font-variant:small-caps;\">Lohweg, V.</span> (Hrsg.): <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i>, <i>Technologien für die intelligente Automation</i>. Berlin, Heidelberg : Springer Berlin Heidelberg, 2022, S. 291–303","bibtex":"@inproceedings{Schwan_Schenck_2022, place={Berlin, Heidelberg}, series={Technologien für die intelligente Automation}, title={Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking}, DOI={<a href=\"https://doi.org/10.1007/978-3-662-64283-2_21\">10.1007/978-3-662-64283-2_21</a>}, booktitle={Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020}, publisher={Springer Berlin Heidelberg}, author={Schwan, Constanze and Schenck, Wolfram}, editor={Jasperneite, Jürgen and Lohweg, VolkerEditors}, year={2022}, pages={291–303}, collection={Technologien für die intelligente Automation} }","mla":"Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i>, edited by Jürgen Jasperneite and Volker Lohweg, Springer Berlin Heidelberg, 2022, pp. 291–303, doi:<a href=\"https://doi.org/10.1007/978-3-662-64283-2_21\">10.1007/978-3-662-64283-2_21</a>.","ama":"Schwan C, Schenck W. Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking. In: Jasperneite J, Lohweg V, eds. <i>Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020</i>. Technologien für die intelligente Automation. Berlin, Heidelberg: Springer Berlin Heidelberg; 2022:291-303. doi:<a href=\"https://doi.org/10.1007/978-3-662-64283-2_21\">10.1007/978-3-662-64283-2_21</a>"},"user_id":"245590","publication":"Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020","title":"Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking","date_created":"2023-04-18T21:54:22Z","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"year":"2022","publication_status":"published","language":[{"iso":"ger"}],"place":"Berlin, Heidelberg","date_updated":"2023-06-19T14:07:57Z","page":"291-303","abstract":[{"lang":"eng","text":"                  Abstract - \r\n                  State-of-the-art methods in image-based robotic grasping use deep convolutional neural networks to determine the robot parameters that maximize the probability of a stable grasp given an image of an object. Despite the high accuracy of these models they are not applied in industrial order picking tasks to date. One of the reasons is the fact that the generation of the training data for these models is expensive. Even though this could be solved by using a physics simulation for training data generation, another even more important reason is that the features that lead to the prediction made by the model are not human-readable. This lack of interpretability is the crucial factor why deep networks are not found in critical industrial applications. In this study we suggest to reformulate the task of robotic grasping as three tasks that are easy to assess from human experience. For each of the three steps we discuss the accuracy and interpretability. We outline how the proposed three-step model can be extended to depth images. Furthermore we discuss how interpretable machine learning models can be chosen for the three steps in order to be applied in a real-world industrial environment.\r\n                "}],"publication_identifier":{"issn":["2522-8579"],"eissn":["2522-8587"],"eisbn":["978-3-662-64283-2"],"isbn":["978-3-662-64282-5"]},"series_title":"Technologien für die intelligente Automation","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-662-64283-2_21","open_access":"1"}],"type":"conference","quality_controlled":"1","doi":"10.1007/978-3-662-64283-2_21","author":[{"last_name":"Schwan","full_name":"Schwan, Constanze","first_name":"Constanze"},{"first_name":"Wolfram","orcid":"0000-0003-3300-2048","id":"224375","full_name":"Schenck, Wolfram","last_name":"Schenck"}],"editor":[{"full_name":"Jasperneite, Jürgen","last_name":"Jasperneite","first_name":"Jürgen"},{"full_name":"Lohweg, Volker","last_name":"Lohweg","first_name":"Volker"}],"oa":"1","publisher":"Springer Berlin Heidelberg"}