Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/6813
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nikolić, Milica | en |
dc.contributor.author | Branislav B. | en |
dc.contributor.author | Raković, Mirko | en |
dc.date.accessioned | 2019-09-30T08:57:39Z | - |
dc.date.available | 2019-09-30T08:57:39Z | - |
dc.date.issued | 2014-01-01 | en |
dc.identifier.isbn | 9783319070575 | en |
dc.identifier.issn | 22110984 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/6813 | - |
dc.description.abstract | © Springer International Publishing Switzerland 2014. Like humans, bipedal robots can easily fall on slippery and low-friction surfaces. In order to avoid costly breakdowns, fall avoidance is of major importance. Recently reported generalized task-prioritization framework enables us to impose dynamical inequality constraints on the robot motion, which we used to create quasi-static walk using task prioritization. Created walking is tested on high- and low-friction surfaces and resulting walking patterns are observed. | en |
dc.relation.ispartof | Mechanisms and Machine Science | en |
dc.title | Walking on slippery surfaces: Generalized task-prioritization framework approach | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1007/978-3-319-07058-2_22 | en |
dc.identifier.scopus | 2-s2.0-84927611074 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84927611074 | en |
dc.relation.lastpage | 196 | en |
dc.relation.firstpage | 189 | en |
dc.relation.volume | 22 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za industrijsko inženjerstvo i menadžment | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
7
checked on May 3, 2024
Page view(s)
31
Last Week
2
2
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.