Home // ACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions // View article

Kalman Filter for Tracking Robotic Arms Using low cost 3D Vision Systems

Authors:
Enrique Martinez-Berti
Antonio-José Sanchez-Salmerón
Francesc Benimeli

Keywords: low cost vision system; Kalman filter; augmented reality; kinematics; Human–machine interaction.

Abstract:
This paper describes a platform which allows humans to interact with robotic arms using augmented reality. Low cost “kinect” cameras (Xbox 360) are used for tracking human skeletons and locations of robot’s end effectors. The main goal of this paper is to develop robust trackers on this platform. Concretely, a Kalman filter is used for tracking robotic arms using data received from these sensors. It comes to finding a low cost platform for human-robot interactions.

Pages: 236 to 240

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-177-9

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012