In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot

Abstract Ground contact modeling for multilegged locomotion is challenging due to the possibility of multiple slipping legs. To understand the interplay of contact forces among multiple legs, we integrated a robot with six high-precision 6 degree-of-freedom (DoF) force-torque sensors, and measured the wrenches (forces and torques) produced in practice. Here, we present an in situ calibration procedure for simultaneously measuring all foot contact wrenches of a hexapod using 6-DoF load cells installed at the hips. We characterized transducer offset, leg gravity offset, and the wrench transformation error in our calibration model. Our calibration reduced the root-mean-square-error (RSME) by 63% for forces and 90% for torques in the residuals of the robot standing in different poses, compared with naive constant offset removal.

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Publication Details

Journal
Journal of Dynamic Systems Measurement and Control
Published
2024-09-09
DOI
https://doi.org/10.1115/1.4066455
Citations
3
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.55
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article

In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot

Shai Revzen, Ziyou Wu
3 citations
Journal of Dynamic Systems Measurement and Control
Robotic Locomotion and Control
0.55
article

In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot

Shai Revzen, Ziyou Wu
article en
3 citations

Abstract

Abstract Ground contact modeling for multilegged locomotion is challenging due to the possibility of multiple slipping legs. To understand the interplay of contact forces among multiple legs, we integrated a robot with six high-precision 6 degree-of-freedom (DoF) force-torque sensors, and measured the wrenches (forces and torques) produced in practice. Here, we present an in situ calibration procedure for simultaneously measuring all foot contact wrenches of a hexapod using 6-DoF load cells installed at the hips. We characterized transducer offset, leg gravity offset, and the wrench transformation error in our calibration model. Our calibration reduced the root-mean-square-error (RSME) by 63% for forces and 90% for torques in the residuals of the robot standing in different poses, compared with naive constant offset removal.

Journal of Dynamic Systems Measurement and ControlVol. 147(3)
University of Michigan (US)
Openalex Percentile: Top 37%
Robotic Locomotion and Control
0.55
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