Modeling of robot inverse kinematics using two ANN paradigms
Document Type
Conference Item
Publication Date
1-1-2000
Abstract
The performance of two artificial neural networks, trained to learn data obtained from the kinematics model of a robotic arm, was compared. The trained artificial neural network (ANN) simulators were implemented to position the robotic manipulator demonstrating the feasibility of using ANN technology in actual implementations. Graphs were plotted to show relevant errors for robotic workspace and conclusions derived with reference to ANN's level of accuracy.
Keywords
Artificial intelligence, Backpropagation, Inverse kinematics, Robot applications, Robotic arms, Robot inverse kinematics, Neural networks
Divisions
fac_eng
Publication Title
IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume
3
Publisher
Elsevier Science
Event Title
IEEE Region 10 Annual International Conference, Proceedings/TENCON
Event Location
Kuala Lumpur, Malaysia.
Event Dates
24 September 2000 through 27 September 2000
Event Type
conference