bibtype C - Conference Paper (international conference)
ARLID 0483503
utime 20240111140953.7
mtime 20171219235959.9
SCOPUS 85047532075
WOS 000426957300442
DOI 10.1109/ASCC.2017.8287574
title (primary) (eng) On the sensor fusion in the walking robots design
specification
page_count 6 s.
media_type E
serial
ARLID cav_un_epca*0483499
ISBN 978-1-5090-1572-6
title Proceedings of the 11th Asian Control Converence (ASCC) 2017
page_num 2534-2539
publisher
place Piscataway
name IEEE
year 2017
keyword Sensor fusion
keyword Extended Kalman Filter
keyword Underactuated walking robots
author (primary)
ARLID cav_un_auth*0252057
name1 Anderle
name2 Milan
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
full_dept Department of Control Theory
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101074
name1 Čelikovský
name2 Sergej
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_size 1,05 MB
cas_special
project
ARLID cav_un_auth*0347203
project_id GA17-04682S
agency GA ČR
country CZ
abstract (eng) The aim of this paper is to provide a sensor fusion for a real laboratory model of the underactuated two degrees of freedom walking robot. More precisely, the laboratory model consists from two pairs of legs with the actuated knees connected in the actuated hip. The angle between the stance leg and the walking surface is both unactuated and insusceptible to direct measurement by precise encoders. In such a way, the convenient fusion of different sensors plays cornerstone role in underactuated walking robots control design. The each link of the leg is equipped with sensors for DC motor input current and its angular position and velocity measurement. The data from sensors are fused together via Extended Kalman Filter in order to eliminate measurement noise and increase accuracy of the measurement. The fused measured data can be used as input data for the tracking or estimating algorithms for the robot walking control or for leg link movement control via a DC motor.
action
ARLID cav_un_auth*0355433
name The 11th Asian Control Conference (ASCC) 2017
dates 20171217
mrcbC20-s 20171220
place Gold Coast
country AU
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2018
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0278782
confidential S
article_num 0529
mrcbC83 RIV/67985556:_____/17:00483503!RIV18-AV0-67985556 191975735 Doplnění UT WOS a Scopus
mrcbC83 RIV/67985556:_____/17:00483503!RIV18-GA0-67985556 191965063 Doplnění UT WOS a Scopus
mrcbC86 n.a. Proceedings Paper Automation Control Systems|Engineering Electrical Electronic
mrcbC86 n.a. Proceedings Paper Automation Control Systems|Engineering Electrical Electronic
mrcbC86 n.a. Proceedings Paper Automation Control Systems|Engineering Electrical Electronic
arlyear 2017
mrcbU14 85047532075 SCOPUS
mrcbU24 PUBMED
mrcbU34 000426957300442 WOS
mrcbU56 1,05 MB
mrcbU63 cav_un_epca*0483499 Proceedings of the 11th Asian Control Converence (ASCC) 2017 978-1-5090-1572-6 2534 2539 Piscataway IEEE 2017