Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Chao Yong Chen"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 2, Pp 1495-1510 (2020)
The present research envisages a method for the robotic grasping based on the improved Gaussian mixture model. The improved Gaussian mixture model is a method proposed by incorporating Bayesian ideas into the Gaussian model. It will use the Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06095923edd6036445590f2dfde32a98
https://pubmed.ncbi.nlm.nih.gov/32233591
https://pubmed.ncbi.nlm.nih.gov/32233591
Autor:
Yu L; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Ke-Ke X; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Chao-Yong C; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Rui-Tong Z; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Ming L; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Shao-Hua L; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Ling-Zhen P; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China., Tian-E Z; School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China., Zhi-Yong Y; School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Publikováno v:
Pharmacognosy magazine [Pharmacogn Mag] 2015 Oct-Dec; Vol. 11 (44), pp. 745-9.