Title :
Fusion of ART-1 and advanced logistic belief neural network for object grasping robot arm
Author :
Mbaitiga, Zacharie
Author_Institution :
Dept. of Media Inf. Eng., Okinawa Nat. Coll. of Technol., Okinawa, Japan
Abstract :
This paper discusses the combination of adaptive resonance theory (ART-1) and advanced logistic belief neural network for controlling robot arms grasping objects. In order for the robot manipulator, end-effectors keep its stability at any given movement; the derivation and maximization of the logarithm-like hood function of the learning rule of the logistic belief network is used.
Keywords :
ART neural nets; belief networks; control engineering computing; end effectors; grippers; learning systems; motion control; neurocontrollers; stability; ART-1; adaptive resonance theory; advanced logistic belief neural network; end-effectors; learning rule; logarithm-likehood function; movement; object grasping robot arm; robot manipulator; stability; ART; grasping; logidtic belief neural nework; robot arm;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6512990
