Publication detail
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
SZABARI, M. KNOFLÍČEK, R.
English title
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
Type
journal article in Web of Science
Language
en
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
English 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 in English
legged robot, resistive terrain, robot gait, leg retraction, Matlab Simulink
Released
16.11.2022
Publisher
MM Science
ISSN
1803-1269
Volume
2022
Number
November
Pages from–to
6040–6048
Pages count
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"
}