A free gait controller designed for a heavy load hexapod robot
As macroscopic rough terrains are time varying and full of local topographic mutations, stable locomotions of legged robots moving through such terrains in a fixed gait form can be hardly obtained. This problem becomes more severe as the size and weight of the robot increase. An ideal pre-planned ga...
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2019-03-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814019838369 |
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doaj-a362e152c7444e6c9ca2ba706ee3ff502020-11-25T02:58:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-03-011110.1177/1687814019838369A free gait controller designed for a heavy load hexapod robotFusheng ZhaChen ChenWei GuoPenglong ZhengJunyi ShiAs macroscopic rough terrains are time varying and full of local topographic mutations, stable locomotions of legged robots moving through such terrains in a fixed gait form can be hardly obtained. This problem becomes more severe as the size and weight of the robot increase. An ideal pre-planned gait changing method can also be hardly designed due to the same limitations. Aiming to solve the problem, a new kind of free gait controller applied to a large-scale hexapod robot with heavy load is developed. The controller consists of two parts, a free gait planner and a gait regulator. Based on the observed macro terrain changes, the free gait planner adopts the macro terrain recognition method and the status searching method for selecting the best leg support status automatically. The gait regulator is adopted for the correction of the selected status to cope with local topographic mutations. Detailed simulation experiments are presented to demonstrate that, with the designed controller, the adopted hexapod robot can change moving gaits automatically in terms of the terrain conditions and obtain stable locomotions through rough terrains.https://doi.org/10.1177/1687814019838369 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fusheng Zha Chen Chen Wei Guo Penglong Zheng Junyi Shi |
spellingShingle |
Fusheng Zha Chen Chen Wei Guo Penglong Zheng Junyi Shi A free gait controller designed for a heavy load hexapod robot Advances in Mechanical Engineering |
author_facet |
Fusheng Zha Chen Chen Wei Guo Penglong Zheng Junyi Shi |
author_sort |
Fusheng Zha |
title |
A free gait controller designed for a heavy load hexapod robot |
title_short |
A free gait controller designed for a heavy load hexapod robot |
title_full |
A free gait controller designed for a heavy load hexapod robot |
title_fullStr |
A free gait controller designed for a heavy load hexapod robot |
title_full_unstemmed |
A free gait controller designed for a heavy load hexapod robot |
title_sort |
free gait controller designed for a heavy load hexapod robot |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2019-03-01 |
description |
As macroscopic rough terrains are time varying and full of local topographic mutations, stable locomotions of legged robots moving through such terrains in a fixed gait form can be hardly obtained. This problem becomes more severe as the size and weight of the robot increase. An ideal pre-planned gait changing method can also be hardly designed due to the same limitations. Aiming to solve the problem, a new kind of free gait controller applied to a large-scale hexapod robot with heavy load is developed. The controller consists of two parts, a free gait planner and a gait regulator. Based on the observed macro terrain changes, the free gait planner adopts the macro terrain recognition method and the status searching method for selecting the best leg support status automatically. The gait regulator is adopted for the correction of the selected status to cope with local topographic mutations. Detailed simulation experiments are presented to demonstrate that, with the designed controller, the adopted hexapod robot can change moving gaits automatically in terms of the terrain conditions and obtain stable locomotions through rough terrains. |
url |
https://doi.org/10.1177/1687814019838369 |
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