| Title | Predict the Physics-Informed Terrain Properties Over Deformable Soils using Sensorized Foot for Quadruped Robots |
| Author | |
| DOI | |
| Publication Years | 2023
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| ISBN | 979-8-3503-0018-5
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| Source Title | |
| Pages | 330-335
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| Conference Date | 8-10 July 2023
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| Conference Place | Sanya, China
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| Keywords | |
| SUSTech Authorship | First
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| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10218853 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559174 |
| Department | Department of Mechanical and Energy Engineering |
| Affiliation | Department of Mechanical and Energy Engineering, Guangdong Provincial Key Laboratory of Human-Augmentation, Rehabilitation Robotics in Universities, Southern University of Science and Technology (SUSTech), Shenzhen, China |
| First Author Affilication | Department of Mechanical and Energy Engineering |
| First Author's First Affilication | Department of Mechanical and Energy Engineering |
| Recommended Citation GB/T 7714 |
Chen Yao,Guowei Shi,Yangtao Ge,et al. Predict the Physics-Informed Terrain Properties Over Deformable Soils using Sensorized Foot for Quadruped Robots[C],2023:330-335.
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| Files in This Item: | There are no files associated with this item. | |||||
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