Zobrazeno 1 - 10
of 16
pro vyhledávání: '"THAI-VIET DANG"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103459- (2024)
In the field of robotic grasping, 2D pose estimation algorithms are outdated and insufficient for modern requirements. Transitioning to 6D pose estimation of objects offers, particularly through deep learning methods, significantly improved performan
Externí odkaz:
https://doaj.org/article/44da854700b14e269c26f66ae89e1b77
Publikováno v:
Sensors, Vol 23, Iss 15, p 6907 (2023)
Computer vision plays a significant role in mobile robot navigation due to the wealth of information extracted from digital images. Mobile robots localize and move to the intended destination based on the captured images. Due to the complexity of the
Externí odkaz:
https://doaj.org/article/2718d7afa3b64197bda5607f27059544
Publikováno v:
MM Science Journal; Oct2024, p7556-7561, 6p
Publikováno v:
MM Science Journal; Oct2024, p7464-7468, 5p
Autor:
Thai-Viet Dang, 鄧泰越
101
In the dissertation, several observer design methods for Takagi-Sugeno (T-S) fuzzy systems with uncertainty, disturbance or/and time-delay are proposed, respectively. In Chapter 2, the observer design for T-S fuzzy systems with uncertainty a
In the dissertation, several observer design methods for Takagi-Sugeno (T-S) fuzzy systems with uncertainty, disturbance or/and time-delay are proposed, respectively. In Chapter 2, the observer design for T-S fuzzy systems with uncertainty a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/99918358545923424471
Publikováno v:
International Journal of Robotics & Control Systems; 2024, Vol. 4 Issue 2, p536-557, 22p
Autor:
HUYEN NGUYEN-THI-NGOC, THAI-VIET DANG
Publikováno v:
MM Science Journal; Oct2023, p6723-6729, 7p