dc.contributor.author |
Althoefer, K |
en |
dc.contributor.author |
Seneviratne, LD |
en |
dc.contributor.author |
Zavlangas, P |
en |
dc.contributor.author |
Krekelberg, B |
en |
dc.date.accessioned |
2014-03-01T01:13:45Z |
|
dc.date.available |
2014-03-01T01:13:45Z |
|
dc.date.issued |
1998 |
en |
dc.identifier.issn |
02184885 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/12709 |
|
dc.subject |
Fuzzy logic |
en |
dc.subject |
Navigation |
en |
dc.subject |
Obstacle avoidance |
en |
dc.subject |
Robotic manipulators |
en |
dc.title |
Fuzzy navigation for robotic manipulators |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1142/S0218488598000161 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1142/S0218488598000161 |
en |
heal.publicationDate |
1998 |
en |
heal.abstract |
This paper describes a novel navigation and obstacle avoidance system for robotic manipulators. The system is divided into separate fuzzy units which individually control the links of a manipulator. The rule base of each unit combines the repelling influence of obstacles with the attracting influence of the target position in a fuzzy way to generate actuating commands for the link. Owing to its simplicity and hence its short response time, the fuzzy navigator is especially suitable in on-line applications with strong real-time requirements. Furthermore, this approach allows obstacle avoidance in dynamic environments. The functioning of the fuzzy navigator with respect to robotic manipulators and results of real-world experiments are presented. |
en |
heal.journalName |
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems |
en |
dc.identifier.doi |
10.1142/S0218488598000161 |
en |
dc.identifier.volume |
6 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
179 |
en |
dc.identifier.epage |
188 |
en |