Modeling and Design of Dynamic Series-parallel Hybrid Lower-limb Mechanism

Humanoid robots are required to exhibit exceptional dynamic motion capabilities, particularly in the lower extremities, while undertaking repetitive, high-intensity, or high-risk tasks in human environments. However, the intricate lower limb structure and high limb mass ratio give rise to substantial errors when relying on reduced-order models. This research presents a novel evaluation methodology that effectively analyzes the mechanical properties of lower limb structures during the design phase. This methodology facilitates early detection and optimization of structural issues, thereby enhancing the motion performance and stability of humanoid robots. Furthermore, a novel design approach for the lower limb structure is proposed, employing a series-parallel coupling multistage transmission structure. This design enables the attainment of a compact overall structure and robust power output by integrating the drive structure of the knee and ankle into the thigh and pelvis. Finally, the practical implementation of this method is realized, demonstrating its efficacy in reducing joint load through running simulations.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633159
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling and Design of Dynamic Series-parallel Hybrid Lower-limb Mechanism

Fei Meng, Zhangguo Yu, Chencheng Dong, Xuechao Chen et al.
Robotic Mechanisms and Dynamics
article

Modeling and Design of Dynamic Series-parallel Hybrid Lower-limb Mechanism

Fei Meng, Zhangguo Yu, Chencheng Dong, Xuechao Chen, Zhuo Chen, Xin Zhu
article en

Abstract

Humanoid robots are required to exhibit exceptional dynamic motion capabilities, particularly in the lower extremities, while undertaking repetitive, high-intensity, or high-risk tasks in human environments. However, the intricate lower limb structure and high limb mass ratio give rise to substantial errors when relying on reduced-order models. This research presents a novel evaluation methodology that effectively analyzes the mechanical properties of lower limb structures during the design phase. This methodology facilitates early detection and optimization of structural issues, thereby enhancing the motion performance and stability of humanoid robots. Furthermore, a novel design approach for the lower limb structure is proposed, employing a series-parallel coupling multistage transmission structure. This design enables the attainment of a compact overall structure and robust power output by integrating the drive structure of the knee and ankle into the thigh and pelvis. Finally, the practical implementation of this method is realized, demonstrating its efficacy in reducing joint load through running simulations.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 86%
Robotic Mechanisms and Dynamics
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