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Detail publikace
SZABARI, M. KNOFLÍČEK, R.
Originální název
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Every day new technology appears. In the field of legged robots, it is not otherwise. LIDAR vision, artificial intelligence, computing power and new drives help to improve the state of legged robots. One of the unsolved problems is still terrain navigation, such as locomotion in resistive terrain. To determine the correct locomotion, research must be carried out. In this paper, we compare two different situations, where a six-legged robot walks through variable resistive terrain with different gait in the first one and with different leg trajectories in the swing phase in the second one
Klíčová slova
legged robot, resistive terrain, robot gait, leg retraction, Matlab Simulink
Autoři
SZABARI, M.; KNOFLÍČEK, R.
Vydáno
16. 11. 2022
Nakladatel
MM Science
ISSN
1803-1269
Periodikum
MM Science Journal
Ročník
2022
Číslo
November
Stát
Česká republika
Strany od
6040
Strany do
6048
Strany počet
9
URL
https://www.mmscience.eu/2022047
BibTex
@article{BUT181431, author="Mikuláš {Szabari} and Radek {Knoflíček}", title="LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS", journal="MM Science Journal", year="2022", volume="2022", number="November", pages="6040--6048", doi="10.17973/MMSJ.2022\{_}11\{_}2022047", issn="1803-1269", url="https://www.mmscience.eu/2022047" }