Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Davide Bazzi"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:1920-1927
Publikováno v:
IEEE Robotics and Automation Letters. 6:6378-6385
In applications of human-robot physical interaction, it is important to guarantee high accuracy not only in terms of the position of the end-effector, but also in terms of its orientation. While translational movements are easily understandable for a
Publikováno v:
2021 20th International Conference on Advanced Robotics (ICAR).
In recent years machine learning techniques have received an increasing interest, since they can be successfully applied to several application domains, among which robotics. In this field, neural networks can be used to approximate the dynamic model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb1959a8497c7ae68697ae6b212a1fa
http://hdl.handle.net/11311/1164739
http://hdl.handle.net/11311/1164739
Publikováno v:
IROS
In this paper we address variable admittance control for human-robot physical interaction in manual guidance applications. In the proposed solution, the parameters of the admittance filter can change not only as a function of the current state of mot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d91448d01d5af69fb5369ba61033b266
http://hdl.handle.net/11311/1167918
http://hdl.handle.net/11311/1167918
Publikováno v:
ICRA
The coexistence of humans and robots in the future production plants is one of the pillars of Industry 4.0. Humans and robots will collaborate to accomplish common tasks in order to mutually compensate their deficiencies. In recent years, many effort