Self-organizing maps for the kinematics problem of a simulated two-arm robot

Date of Publication

1998

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Arnulfo P. Azcarraga

Defense Panel Chair

Elmer Dadios

Defense Panel Member

Maria Alvarez
Nelson Marcos

Abstract/Summary

A self-organizing map is studied in terms of its relationship with the kinematics of a simulated two-arm robot operating in 2D workspace. A two-dimensional array of neural units will be used for the map. Each unit in the map is responsible for a particular region in the workspace. An input from the workspace activates a unit in the map. The activation of such unit causes it to transmit its output values to the joint motors and these lead the end effectors to the target. This method is motivated by the reflex mode present in the control of human arms. It will be shown that after the learning process, the input space is topographically represented on the competitive layer and finally on the output space. Both supervised and unsupervised SOM's are studied, and the results for 2D workspace are extended to 3D. Simulations results are presented and analyzed.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG02765

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

112 leaves; 28 cm.

Keywords

Memory maps (Computer science); Kinematics; Robotics; Robots -- Control systems; Computer simulation

This document is currently not available here.

Share

COinS