Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Etienne Roberge"'
Autor:
Inigo Iturrate, Esben Hallundbak Ostergaard, Vincent Duchaine, Etienne Roberge, Thiusius Rajeeth Savarimuthu
Publikováno v:
CASE
Iturrate, I, Roberge, E, Ostergaard, E H, Duchaine, V & Savarimuthu, T R 2019, Improving the Generalizability of Robot Assembly Tasks Learned from Demonstration via CNN-based Segmentation . in 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019 . IEEE, IEEE International Conference on Automation Science and Engineering, vol. 2019-August, pp. 553-560, 15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, Canada, 22/08/2019 . https://doi.org/10.1109/COASE.2019.8843029
Iturrate, I, Roberge, E, Ostergaard, E H, Duchaine, V & Savarimuthu, T R 2019, Improving the Generalizability of Robot Assembly Tasks Learned from Demonstration via CNN-based Segmentation . in 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019 . IEEE, IEEE International Conference on Automation Science and Engineering, vol. 2019-August, pp. 553-560, 15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, Canada, 22/08/2019 . https://doi.org/10.1109/COASE.2019.8843029
Kinesthetic teaching and Dynamic Movement Primitives (DMPs) enable fast and adaptable learning of robot tasks based on a human demonstration. A task encoded as a dynamic movement primitive can be reused with a different goal position, albeit with a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d268d694deab566e3fdb92a0069408e
https://doi.org/10.1109/coase.2019.8843029
https://doi.org/10.1109/coase.2019.8843029
Detecting insertion tasks using convolutional neural networks during robot teaching-by-demonstration
Autor:
Vincent Duchaine, Etienne Roberge
Publikováno v:
IROS
Today, collaborative robots are often taught new tasks through “teaching by demonstration” techniques rather than manual programming. This works well for many tasks; however, some tasks like precise tight-fitting insertions can be hard to recreat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b074072f4ac643d11d81adaf5f1e2575
https://doi.org/10.1109/iros.2017.8206154
https://doi.org/10.1109/iros.2017.8206154