By Topic

Statistical motion planning for mobile robots: paradigms for efficiency and optimality using a discrete model

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)
Kruse, E. ; Inst. for Robotics & Process Control, Tech. Univ. Braunschweig, Germany ; Gutsche, R. ; Wahl, F.M.

In recent papers we have proposed a new path planning approach for mobile robots, which employs statistical data in order to plan efficient paths in environments with moving obstacles. In this paper, a more systematic insight is offered using a simplified model with discrete space and time. We present complete algorithms yielding globally optimal solutions without requiring any heuristics. Regarding the reactive behaviour, benefits of statistical motion planning are specified in terms of reliability and expected time to reach the given goal positions

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:2 )

Date of Conference:

12-15 Oct 1997