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

An Object-Based Path Planning Using Grids-Potential Fields for Intelligent Robot

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

3 Author(s)
Yuehai Wang ; Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China ; Jingang Wang ; Shuting Yin

An object-based approach was proposed for the path planning of the intelligent robot to avoid obstacles in the complex environment to shorten the computation time. This approach combines the artificial potential field method and grid method. The object-based approach can enhance the robots navigation and obstacle avoidance ability. In the approach, grid model is used to describe the obstacles, while the artificial potential field is used to navigation. This approach can avoid local minimum, reduce the search volume, shorten the search path and improve the robot's navigation strategy and the capacity of obstacle avoidance.

Published in:

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Date of Conference:

14-17 Oct. 2009

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.