By Topic

Navigational task-planning of distributed cooperative robotic vehicles

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

2 Author(s)
Mansour, M. ; Intelligent Manuf. Res. Lab., Tennessee State Univ., Nashville, TN, USA ; Shirkhodaie, A.

Real time obstacle avoidance is one of the intelligent tasks for intelligent mobile robots. Mobile robots should possess the ability to act autonomously in the presence of uncertainty and to adjust their action based on sensed information. They also should be capable of accepting high level mission oriented commands, integrate several kinds of data, including task specification, able to handle information about their own state and the state of the environment too, and be capable of reasoning under uncertainty without human intervention. The proposed technique is a behavior-based approach that blends subset navigational behaviors such as reflexive, potential field and wall following techniques. We discuss each approach separately and present a technique for adaptive navigational behavior switching that is conditional based on the availability of sensory information locally and globally. Our navigation control strategies are developed fully in the FMCell environment. We present some simulation results from FMCell software

Published in:

Southeastcon 2000. Proceedings of the IEEE

Date of Conference: