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Publication detail
SZABARI, M. KNOFLÍČEK, R.
Original Title
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
Type
journal article in Web of Science
Language
English
Original Abstract
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
Keywords
legged robot, resistive terrain, robot gait, leg retraction, Matlab Simulink
Authors
SZABARI, M.; KNOFLÍČEK, R.
Released
16. 11. 2022
Publisher
MM Science
ISBN
1803-1269
Periodical
MM Science Journal
Year of study
2022
Number
November
State
Czech Republic
Pages from
6040
Pages to
6048
Pages count
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" }