By Topic

Trajectory planning method of guide robots for a achieving the guidance

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

4 Author(s)
Mizobuchi, Y. ; Intelligent Mech. Syst. Eng., Kochi Univ. of Technol. ; Shuoyu Wang ; Kawata, K. ; Yamamoto, M.

Recently, human-friendly robots are expected to support human daily life at home, office, medical treatment and welfare scene with rapid development of declining children population and increasing aging community. Our research addresses to develop the guide robot that can be used in hospitals, welfare facilities, and etc. In order to achieve the same performance as human guidance on a robot, it is necessary to extract human's guidance knowledge. In this paper, firstly, the advanced guidance knowledge is formulated using production rules based on linguistic variables. Secondly, the trajectory planning of guide robot is implemented by the quantified knowledge and distance-type fuzzy reasoning method. The distance-type fuzzy reasoning method is a fuzzy reasoning method by considering the distance value between two fuzzy sets, and is effective even when the common set between an antecedent and a fact is an empty set. Finally, the effectiveness of the proposed trajectory planning method is illuminated by the experiment of guidance considering relative distance and speed to person

Published in:

Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on

Date of Conference:

0-0 0