{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:39:18Z","timestamp":1755999558861,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,2,23]],"date-time":"2019-02-23T00:00:00Z","timestamp":1550880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,2,23]]},"DOI":"10.1145\/3313991.3314011","type":"proceedings-article","created":{"date-parts":[[2019,4,16]],"date-time":"2019-04-16T12:04:41Z","timestamp":1555416281000},"page":"146-151","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments"],"prefix":"10.1145","author":[{"given":"Christian","family":"Poss","sequence":"first","affiliation":[{"name":"Logistics Robotics, BMW Group, Munich, Germany"}]},{"given":"Thomas","family":"Irrenhauser","sequence":"additional","affiliation":[{"name":"Logistics Robotics, BMW Group, Munich, Germany"}]},{"given":"Marco","family":"Prueglmeier","sequence":"additional","affiliation":[{"name":"Logistics Robotics, BMW Group, Munich, Germany"}]},{"given":"Daniel","family":"Goehring","sequence":"additional","affiliation":[{"name":"Dahlem Center for Machine Learning and Robotics, Freie Universitaet Berlin, Germany"}]},{"given":"Firas","family":"Zoghlami","sequence":"additional","affiliation":[{"name":"Hochschule M\u00fcnchen, Germany"}]},{"given":"Vahid","family":"Salehi","sequence":"additional","affiliation":[{"name":"Hochschule M\u00fcnchen, Germany"}]}],"member":"320","published-online":{"date-parts":[[2019,2,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Top Challenges of Today's Chief Supply Chain Officer","author":"Permenter K.","year":"2012","unstructured":"K. Permenter , \"Cost and Complexity : Top Challenges of Today's Chief Supply Chain Officer \", Aberdeen Group , January 2012 . K. Permenter, \"Cost and Complexity: Top Challenges of Today's Chief Supply Chain Officer\", Aberdeen Group, January 2012."},{"key":"e_1_3_2_1_2_1","volume-title":"New Technology","author":"Stringflow A.","year":"2018","unstructured":"A. Stringflow , \"How to Reduce Logistics Costs : 19 Experts Reveal Ways Organizations Can Cut Their Logistics Transportation and Carry Costs \", New Technology , June 2018 . A. Stringflow, \"How to Reduce Logistics Costs: 19 Experts Reveal Ways Organizations Can Cut Their Logistics Transportation and Carry Costs\", New Technology, June 2018."},{"key":"e_1_3_2_1_3_1","first-page":"540","article-title":"Handbuch Logistik","volume":"978","author":"Arnold D.","year":"2008","unstructured":"D. Arnold , \" Handbuch Logistik \", Springer-Verlag Berlin Heidelberg , 978-3 - 540 - 72929 -7, 2008 . D. Arnold et al., \"Handbuch Logistik\", Springer-Verlag Berlin Heidelberg, 978-3-540-72929-7, 2008.","journal-title":"Springer-Verlag Berlin Heidelberg"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-018-05093-1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2015.2432331"},{"key":"e_1_3_2_1_6_1","volume-title":"ICRA","author":"Romea A.","year":"2009","unstructured":"A. Romea recognition and full pose registration from a single image for robotic manipulation \", ICRA 2009 . A. Romea et al., \"Object recognition and full pose registration from a single image for robotic manipulation\", ICRA 2009."},{"key":"e_1_3_2_1_7_1","volume-title":"RSS","author":"Dogar M.","year":"2012","unstructured":"M. Dogar grasp planning through clutter \", RSS , 2012 . M. Dogar et al., \"Physics-based grasp planning through clutter\", RSS, 2012."},{"key":"e_1_3_2_1_8_1","volume-title":"ICLR","author":"Lenz I.","year":"2013","unstructured":"I. Lenz , \" Deep Learning for Detecting Robotic Grasps \", ICLR , 2013 . I. Lenz et al., \"Deep Learning for Detecting Robotic Grasps\", ICLR, 2013."},{"key":"e_1_3_2_1_9_1","volume-title":"Preprint arXiv: 1706.09911v1","author":"A.","year":"2017","unstructured":"A. ten Pas et al., \"Grasp Pose Detection in Point Clouds \", Preprint arXiv: 1706.09911v1 , 2017 . A. ten Pas et al., \"Grasp Pose Detection in Point Clouds\", Preprint arXiv: 1706.09911v1, 2017."},{"key":"e_1_3_2_1_10_1","volume-title":"SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again.\" Proceedings of the IEEE International Conference on Computer Vision","author":"Kehl W.","year":"2017","unstructured":"W. Kehl \" SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again.\" Proceedings of the IEEE International Conference on Computer Vision . 2017 . W. Kehl et al. \"SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again.\" Proceedings of the IEEE International Conference on Computer Vision. 2017."},{"key":"e_1_3_2_1_11_1","volume-title":"Gripping Point Determination for Bin Picking Using Heuristic Search. Procedia CIRP. 62. 606--611","author":"Spenrath F.","year":"2017","unstructured":"F. Spenrath Gripping Point Determination for Bin Picking Using Heuristic Search. Procedia CIRP. 62. 606--611 . 2017 . F. Spenrath et al. Gripping Point Determination for Bin Picking Using Heuristic Search. Procedia CIRP. 62. 606--611. 2017."},{"key":"e_1_3_2_1_13_1","volume-title":"Science Robotics 2.9","author":"Robertson M.","year":"2017","unstructured":"M. Robertson , \" New soft robots really suck: Vacuum-powered systems empower diverse capabilities .\", Science Robotics 2.9 , 2017 . M. Robertson et al., \"New soft robots really suck: Vacuum-powered systems empower diverse capabilities.\", Science Robotics 2.9, 2017."},{"key":"e_1_3_2_1_14_1","volume-title":"2017 IEEE International Conference on. IEEE","author":"Gu S.","year":"2017","unstructured":"S. Gu reinforcement learning for robotic manipulation with asynchronous off-policy updates.\" Robotics and Automation (ICRA) , 2017 IEEE International Conference on. IEEE , 2017 . S. Gu et al. \"Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates.\" Robotics and Automation (ICRA), 2017 IEEE International Conference on. IEEE, 2017."},{"key":"e_1_3_2_1_15_1","volume-title":"Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark.\" Conference on Robot Learning","author":"L.","year":"2018","unstructured":"L. Fanet al., \"SURREAL : Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark.\" Conference on Robot Learning , 2018 . L. Fanet al., \"SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark.\" Conference on Robot Learning, 2018."},{"key":"e_1_3_2_1_16_1","volume-title":"Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning.\", arXiv preprint arXiv:1709.06670","author":"Mahler J.","year":"2017","unstructured":"J. Mahler , \" Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning.\", arXiv preprint arXiv:1709.06670 , 2017 . J. Mahler et al., \"Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning.\", arXiv preprint arXiv:1709.06670, 2017."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989165"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-017-0501-1"},{"key":"e_1_3_2_1_19_1","volume-title":"Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation.\" arXiv preprint arXiv:1804.06534","author":"Tremblay J.","year":"2018","unstructured":"J. Tremblay , \" Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation.\" arXiv preprint arXiv:1804.06534 , 2018 . J. Tremblay et al., \"Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation.\" arXiv preprint arXiv:1804.06534, 2018."},{"key":"e_1_3_2_1_20_1","volume-title":"Analysis of feature based object mining and tagging algorithm considering different levels of occlusion.\" Communication and Signal Processing (ICCSP)","author":"Hiteshree H.","year":"2017","unstructured":"H. Hiteshree , \" Analysis of feature based object mining and tagging algorithm considering different levels of occlusion.\" Communication and Signal Processing (ICCSP) , 2017 . H. Hiteshree et al., \"Analysis of feature based object mining and tagging algorithm considering different levels of occlusion.\" Communication and Signal Processing (ICCSP), 2017."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"S. Sundararajan etal \"Continuous set of image processing methodology for efficient image retrieval using BOW SHIFT and SURF features for emerging image processing applications.\" 2017 International Conference on Technological Advancements in Power and Energy (TAP Energy) 2017.  S. Sundararajan et al. \"Continuous set of image processing methodology for efficient image retrieval using BOW SHIFT and SURF features for emerging image processing applications.\" 2017 International Conference on Technological Advancements in Power and Energy (TAP Energy) 2017.","DOI":"10.1109\/TAPENERGY.2017.8397235"},{"key":"e_1_3_2_1_22_1","volume-title":"Visual recognition in RGB images and videos by learning from RGB-D data.\" IEEE transactions on pattern analysis and machine intelligence 40.8: 2030--2036","author":"Li W.","year":"2018","unstructured":"W. Li , \" Visual recognition in RGB images and videos by learning from RGB-D data.\" IEEE transactions on pattern analysis and machine intelligence 40.8: 2030--2036 , 2018 . W. Li et al., \"Visual recognition in RGB images and videos by learning from RGB-D data.\" IEEE transactions on pattern analysis and machine intelligence 40.8: 2030--2036, 2018."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_3_2_1_24_1","volume-title":"Object detection networks on convolutional feature maps.\" IEEE transactions on pattern analysis and machine intelligence 39.7: 1476--1481","author":"Shaoqing R.","year":"2017","unstructured":"R. Shaoqing , \" Object detection networks on convolutional feature maps.\" IEEE transactions on pattern analysis and machine intelligence 39.7: 1476--1481 , 2017 . R. Shaoqing et al., \"Object detection networks on convolutional feature maps.\" IEEE transactions on pattern analysis and machine intelligence 39.7: 1476--1481, 2017."}],"event":{"name":"ICCAE 2019: 2019 11th International Conference on Computer and Automation Engineering","sponsor":["The University of Western Australia, Department of Electronic Engineering, University of Western Australia","University of Melbourne University of Melbourne","Macquarie University-Sydney"],"location":"Perth WN Australia","acronym":"ICCAE 2019"},"container-title":["Proceedings of the 2019 11th International Conference on Computer and Automation Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3313991.3314011","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3313991.3314011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:47Z","timestamp":1750202627000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3313991.3314011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,23]]},"references-count":23,"alternative-id":["10.1145\/3313991.3314011","10.1145\/3313991"],"URL":"https:\/\/doi.org\/10.1145\/3313991.3314011","relation":{},"subject":[],"published":{"date-parts":[[2019,2,23]]},"assertion":[{"value":"2019-02-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}