Cart (Loading....) | Create Account
Close category search window
 

Trajectory generation for a robotic in a robocup test scenery using Kalman filter and B-spline curves

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Restrepo, J.C. ; Inst. Tecnol. Metropolitano, Medellin, Colombia ; Villegas, J. ; Arias, A. ; Serna, S.
more authors

In this paper is presented the design of a tracking and trayectory generation robotic system in a testing environment Robocup (small size category) by the prediction of movements using Kalman filters and the optimal trajectory generation by implementing B-spline curves. In the different results obtained it was found that the Kalman filter facilitates the prediction of robotic agents with small processing times and curves B-splines by optimizing the control points allowed to generate smooth curves for obstacle avoidance.

Published in:

Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of

Date of Conference:

12-14 Sept. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.