您当前的位置：
首页 >
文章列表页 >
Static gait planning method for quadruped robot based on gate recurrent neural network
更新时间：2025-05-26

    • Static gait planning method for quadruped robot based on gate recurrent neural network

    • “In the field of robotics, researchers have proposed a gait planning method for quadruped robots based on the GRU model, which enables them to autonomously adjust their gait in complex terrains, improving stability and adaptability.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 3, Pages: 902-912(2023)
    • 作者机构：

      山东科技大学 电气信息系，济南 250031

    • DOI：10.13229/j.cnki.jdxbgxb20221200    

      CLC： TP242

    • Received：16 September 2022，

      Published：01 March 2023

    移动端阅览

  • ZHANG Shuai-shuai,YIN Yan-fang,XIAO Lin-jing,et al.Static gait planning method for quadruped robot based on gate recurrent neural network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(03):902-912. DOI： 10.13229/j.cnki.jdxbgxb20221200.

  •  
  •  

0

Views

9

下载量

2

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Balancing and bi⁃objective optimization of robotic assemble lines
Position and attitude control of all terrain robot with suspension system
Robotic environment sensing based on semantic segmentation by deep learning
Static gait planning method for quadruped robots on rough terrains
Analysis of coal reservoir gas characteristics and main controlling factors in Hedong mining area, Urumqi city, Xingjiang Uygur Autonomous Region

Related Author

ZHOU Bing-hai
WU Qiong
MA Fang-wu
NI Li-wei
WEI Lu-lu
XU Guang-jian
GE Lin-he
NIE Jia-hong

Related Institution

College of Mechanical Engineering， Tongji University
College of Automotive Engineering, Jilin University
State Key Laboratory of Automotive Simulation and Control, Jilin University
College of Computer Science and Technology, Jilin University
Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University
0