Improving the Generalizability of Robot Assembly Tasks Learned from Demonstration via CNN-based Segmentation

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

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

From Orphan to Patriarch : Men Without a Past Who Founded Dynasties of New France

Autor: Edward Roby

This book researches the origins of an enduring cluster of interrelated North American families first formed in colonial New France in the 17th Century. The narrative tracks the genealogy and history of the families Roberge, Boisvert and Boucher, all