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IJCNN
2000
IEEE
13 years 10 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
IJCNN
2006
IEEE
13 years 11 months ago
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
Xin Chen, Yangmin Li
TROB
2002
121views more  TROB 2002»
13 years 5 months ago
Adaptive force control of position/velocity controlled robots: theory and experiment
This paper addresses the problem of achieving exact dynamic force control with manipulators possessing the low-level position and/or velocity controllers typically employed in indu...
Jaydeep Roy, Louis L. Whitcomb
ECAL
2007
Springer
13 years 9 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
HRI
2010
ACM
13 years 6 months ago
Towards robust human robot collaboration in industrial environments
In this paper a system, which is driven through natural language, that allows operators to select and manipulate objects in the environment using an industrial robot is proposed. I...
Batu Akan, Baran Çürüklü, Gi...