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Kalman filter application on a Bluet...

California State University, Long Beach.

Kalman filter application on a Bluetooth driven anthropomorphic system.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Kalman filter application on a Bluetooth driven anthropomorphic system.
Author:	Ly, Lisa Phung.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:	63 p.
Notes:	Source: Masters Abstracts International, Volume: 55-04.
Notes:	Adviser: Fumio Hamano.
Contained By:	Masters Abstracts International55-04(E).
Subject:	Electrical engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10105269
ISBN:	9781339687551

Kalman filter application on a Bluetooth driven anthropomorphic system.
Ly, Lisa Phung.

Kalman filter application on a Bluetooth driven anthropomorphic system. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 63 p.

Source: Masters Abstracts International, Volume: 55-04.

Thesis (M.S.)--California State University, Long Beach, 2016.

This report describes two enhancements implemented on an existing anthropomorphic robot with eight degrees of freedom. The robot is controlled with natural human body motion, i.e., it mimics the body movement, using a MicrosoftRTM Kinect(TM) sensor. The robot's arms are modeled after a three-link manipulator and are controlled through the application of inverse kinematics and geometry generated by the MicrosoftRTM Kinect(TM) sensor data. The two enhancements are wireless control via Bluetooth connection and improvement on the robot movements by applying a Kalman filter to the control system.

ISBN: 9781339687551Subjects--Topical Terms:

454503
Electrical engineering.

Kalman filter application on a Bluetooth driven anthropomorphic system.
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520 $a This report describes two enhancements implemented on an existing anthropomorphic robot with eight degrees of freedom. The robot is controlled with natural human body motion, i.e., it mimics the body movement, using a MicrosoftRTM Kinect(TM) sensor. The robot's arms are modeled after a three-link manipulator and are controlled through the application of inverse kinematics and geometry generated by the MicrosoftRTM Kinect(TM) sensor data. The two enhancements are wireless control via Bluetooth connection and improvement on the robot movements by applying a Kalman filter to the control system.
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