LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU146937" target="_blank" >RIV/00216305:26210/22:PU146937 - isvavai.cz</a>
Result on the web
<a href="https://www.mmscience.eu/2022047" target="_blank" >https://www.mmscience.eu/2022047</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2022_11_2022047" target="_blank" >10.17973/MMSJ.2022_11_2022047</a>
Alternative languages
Result language
angličtina
Original language name
LEGGED ROBOT LOCOMOTION IN RESISTIVE TERRAIN: A COMPARISON OF TWO METHODS
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Volume of the periodical
2022
Issue of the periodical within the volume
November
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
6040-6048
UT code for WoS article
000885478100001
EID of the result in the Scopus database
2-s2.0-85141839292