Intelligent Robot Motion using Fuzzy logic-Based CTP and Artificial Neural Networks

Author

Davoudi, Mohsen ; Davoudi, Mehdi

Author_Institution

Dept. of Electr. Eng., Abhar Azad Univ.

Volume

2

fYear

2006

fDate

17-19 July 2006

Firstpage

669

Lastpage

674

Abstract

Human has some perception based behavior seen in his body movements. Movements of hands, legs, head, etc. show the inner emotion of the person in specific situations subconsciously. This paper introduces a Generalized Constraint Language (GCL) for humanoid robots to categorize data needed for trajectory tracking for each joint of the robot which lead to emotion mimicry. An artificial neural network generates velocity and acceleration for each joint of humanoid using GCL values. A concept that plays a key role in emotion mimicry with CTP is GCL

Keywords

constraint handling; control engineering computing; fuzzy control; humanoid robots; motion control; neurocontrollers; perceptrons; tracking; Generalized Constraint Language; artificial neural networks; computational theory of perceptions; fuzzy logic; humanoid robots; intelligent robot motion; trajectory tracking; Acceleration; Artificial neural networks; Fuzzy logic; Fuzzy neural networks; Humanoid robots; Humans; Intelligent robots; Joints; Leg; Trajectory; Emotion; GCL; fuzzy; humanoid robot;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0475-4

Type

conf

DOI

10.1109/COGINF.2006.365568

Filename

4216486