Integrated torque sensors for humanoid robot joints

Abstract Torque sensors are becoming increasingly important in the joints of humanoid robots, serving as an indispensable part of the joint system. This paper designs a strain-based torque sensor integrated into the output flange of a cycloidal reducer. Through mechanical analysis, the relationship between strain and torque is derived. Then, through model simulation analysis, the optimal placement for the strain gauge is determined. A combination of experimental design and response surface analysis is used to optimize the structure’s parameters. Finally, finite element simulation is conducted using ANSYS to obtain the optimized performance parameters. Subsequent steps include the static calibration of the integrated sensor. Based on the measured data points, a linear relationship between the sensor’s output signal and torque is established.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2815/1/012017
Citations
1
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.18
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article

Integrated torque sensors for humanoid robot joints

Bo Lin, Peng Wang, Bingkui Chen, Hongwang Zhao et al.
1 citations
Journal of Physics Conference Series
Prosthetics and Rehabilitation Robotics
0.18
article

Integrated torque sensors for humanoid robot joints

Bo Lin, Peng Wang, Bingkui Chen, Hongwang Zhao, Changyan Peng, Weikai Gu
article en
1 citations

Abstract

Abstract Torque sensors are becoming increasingly important in the joints of humanoid robots, serving as an indispensable part of the joint system. This paper designs a strain-based torque sensor integrated into the output flange of a cycloidal reducer. Through mechanical analysis, the relationship between strain and torque is derived. Then, through model simulation analysis, the optimal placement for the strain gauge is determined. A combination of experimental design and response surface analysis is used to optimize the structure’s parameters. Finally, finite element simulation is conducted using ANSYS to obtain the optimized performance parameters. Subsequent steps include the static calibration of the integrated sensor. Based on the measured data points, a linear relationship between the sensor’s output signal and torque is established.

Journal of Physics Conference SeriesVol. 2815(1)
Chongqing University (CN)
Affordable and clean energy
Openalex Percentile: Top 54%
Prosthetics and Rehabilitation Robotics
0.18
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Integrated torque sensors for humanoid robot joints — Bo Lin, Peng Wang, et al. · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS