Detail publikace
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
SZABARI, M. KNOFLÍČEK, R.
Anglický název
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
en
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
Anglický 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 anglicky
legged robot, resistive terrain, robot gait, leg retraction, Matlab Simulink
Vydáno
16.11.2022
Nakladatel
MM Science
ISSN
1803-1269
Ročník
2022
Číslo
November
Strany od–do
6040–6048
Počet stran
9
BIBTEX
@article{BUT181431,
author="Mikuláš {Szabari} and Radek {Knoflíček},
title="LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS",
year="2022",
volume="2022",
number="November",
month="November",
pages="6040--6048",
publisher="MM Science",
issn="1803-1269"
}