Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Keunjun Choi"'
Publikováno v:
IEEE Transactions on Robotics. 37:1100-1114
A robot's dynamic model depends on both the kinematic and mass-inertial parameters of a robot. Robot model identification therefore typically begins with kinematic identification; the mass-inertial parameters are then identified with the identified k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ded64c1d14a891bca7280ac1f1803a4
https://doi.org/10.1109/tro.2020.3047515
https://doi.org/10.1109/tro.2020.3047515
Autor:
Choongin Lee, Taeyoon Lee, Jae-Kyung Min, Albert Wang, SungPyo Lee, Jaesung Oh, Chang-Woo Park, Keunjun Choi
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e68375a2ada799474b2307ea67965c
https://doi.org/10.1109/icra46639.2022.9811694
https://doi.org/10.1109/icra46639.2022.9811694
Autor:
Frank C. Park, Keunjun Choi, Inhyeok Kim, Choongin Lee, Yong-Jae Kim, Changwoo Park, SungPyo Lee, Taeyoon Lee, Sangok Seok, Jinwon Pyo, Jaewoon Kwon
Publikováno v:
Mechatronics. 69:102398
Tendon-driven actuation allows for light and compact manipulator designs with enhanced safety features. One of the key challenges in model-based control of tendon-driven robots is the increased complexity of the dynamic model, due in large part to di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc9f35c019b192dd3d32165e00246828
https://doi.org/10.1016/j.mechatronics.2020.102398
https://doi.org/10.1016/j.mechatronics.2020.102398