Artificial Intelligent Systems and Machine Learning

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Implementation of Neuro-Fuzzy Method for Robot Kinematic Simulation


Affiliations
1 Department of EEE, Vinayaka Missions University, Salem, India
2 Sapthagiri College of Engineering, Bangalore, India
     

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This paper presents the estimation of joint angles of two link robot using Locally weighted projection regression (LWPR) and Fuzzy logic (FL).The LWPR and FL are trained with x,y coordinates and joint angles. The data used for training the LWPR and FL correspond to the robot working space. Estimation accuracy of the LWPR and FL are compared for estimating the joint angles.

Keywords

Locally Weighted Projection Regression, Fuzzy Logic, Forward Kinematics, Inverse Kinematics, Robotics, Degree of Freedom, Joint Transformations.
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  • Implementation of Neuro-Fuzzy Method for Robot Kinematic Simulation

Abstract Views: 205  |  PDF Views: 3

Authors

M. R. Prapulla
Department of EEE, Vinayaka Missions University, Salem, India
C. Puttamadappa
Sapthagiri College of Engineering, Bangalore, India

Abstract


This paper presents the estimation of joint angles of two link robot using Locally weighted projection regression (LWPR) and Fuzzy logic (FL).The LWPR and FL are trained with x,y coordinates and joint angles. The data used for training the LWPR and FL correspond to the robot working space. Estimation accuracy of the LWPR and FL are compared for estimating the joint angles.

Keywords


Locally Weighted Projection Regression, Fuzzy Logic, Forward Kinematics, Inverse Kinematics, Robotics, Degree of Freedom, Joint Transformations.