Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jacob Pørksen Buch"'
Publikováno v:
Buch, J P & Petersen, H G 2017, A framework for handling and combining inaccuracy propagation in robot subtasks for industrial assembly . in IROS 2017-IEEE/RSJ International Conference on Intelligent Robots and Systems . vol. 2017-September, 8206236, IEEE, pp. 3848-3854, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, 24/09/2017 . https://doi.org/10.1109/IROS.2017.8206236
IROS
IROS
Automated assembly operations have traditionally been carried out using 'hard automation', where all parts to be handled during the operation are located at known positions with very high accuracy. Such automation solutions are often mechanically ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b9ba040d7cb0ee6a218a57c88724c0
https://portal.findresearcher.sdu.dk/da/publications/ff418b1f-fcaf-46f2-a965-39989bc1705b
https://portal.findresearcher.sdu.dk/da/publications/ff418b1f-fcaf-46f2-a965-39989bc1705b
Publikováno v:
ICINCO (2)
Sørensen, L C, Buch, J P, Petersen, H G & Kraft, D 2016, Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion . in O Gusikhin, D Peaucelle & K Madani (eds), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics . SCITEPRESS Digital Library, pp. 166-177, 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29/07/2016 . https://doi.org/10.5220/0005958801660177
Sørensen, L C, Buch, J P, Petersen, H G & Kraft, D 2016, Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion . in O Gusikhin, D Peaucelle & K Madani (eds), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics . SCITEPRESS Digital Library, pp. 166-177, 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29/07/2016 . https://doi.org/10.5220/0005958801660177
Learning action parameters is becoming an ever more important topic in industrial assembly with tendencies towards smaller batch sizes, more required flexibility and process uncertainties. This paper presents a statistical online learning method capa
Publikováno v:
ICINCO (2)
Buch, J P, Sørensen, L C, Kraft, D & Petersen, H G 2016, Facilitating Robotic Subtask Reuse by a New Representation of Parametrized Solutions . in O Gusikhin, D Peaucelle & K Madani (eds), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics . SCITEPRESS Digital Library, pp. 37-48, 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29/07/2016 . https://doi.org/10.5220/0005964100370048
Buch, J P, Sørensen, L C, Kraft, D & Petersen, H G 2016, Facilitating Robotic Subtask Reuse by a New Representation of Parametrized Solutions . in O Gusikhin, D Peaucelle & K Madani (eds), Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics . SCITEPRESS Digital Library, pp. 37-48, 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29/07/2016 . https://doi.org/10.5220/0005964100370048
In this paper, we suggest a coherent way of representing results from experiments associated with robotic assembly. The purpose of the representation is to be able to reuse the experiments in other assembly settings. A main novelty in our representat
Autor:
Dirk Kraft, Lars-Peter Ellekilde, Ulrik Pagh Schultz, Lars Carøe Sørensen, Jacob Pørksen Buch, Henrik Gordon Petersen, Johan Sund Laursen
Publikováno v:
Simulation, Modeling, and Programming for Autonomous Robots ISBN: 9783319118994
SIMPAR
SIMPAR
In this paper, we present the status of ongoing research aimed at tackling the issues of programming robots for small-size productions where fast set-up times, quick changeovers and easy adjustments are essential. We use a probabilistic approach wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16e9a6a83196118ad5cc4398407f3e5
https://doi.org/10.1007/978-3-319-11900-7_8
https://doi.org/10.1007/978-3-319-11900-7_8
Autor:
Lars-Peter Ellekilde, Jacob Pørksen Buch, Thorbjørn Mosekjær Iversen, Johan Sund Laursen, Simon Faarvang Mathiesen, Lars Carøe Sørensen, Dirk Kraft, Thiusius Rajeeth Savarimuthu, Henrik Gordon Petersen, Dimitris Chrysostomou, Michael Hansson, Casper Schou
Publikováno v:
University of Southern Denmark
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::197c5b3e8076ac249da298c9ba925007
https://portal.findresearcher.sdu.dk/en/publications/518e4cd2-a891-4e35-bd56-6cdb19678d2e
https://portal.findresearcher.sdu.dk/en/publications/518e4cd2-a891-4e35-bd56-6cdb19678d2e