A precise embedded curvature sensor module for soft-bodied robots
•Robust and precise curvature feedback with rapid response for soft-bodied robots.•Integrated measurement of kinematic configuration for soft-bodied arms and mobile robots composed of soft bending segments.•A custom test platform for soft-bodied curvature sensors. As an emerging field, soft-bodied r...
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Published in | Sensors and actuators. A. Physical. Vol. 236; pp. 349 - 356 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2015
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Subjects | |
Online Access | Get full text |
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Summary: | •Robust and precise curvature feedback with rapid response for soft-bodied robots.•Integrated measurement of kinematic configuration for soft-bodied arms and mobile robots composed of soft bending segments.•A custom test platform for soft-bodied curvature sensors.
As an emerging field, soft-bodied robots require profoundly different approaches to sensing and actuation compared to their rigid-bodied counterparts. Electro-mechanical design, fabrication, and operational challenges due to material elasticity significantly complicate embedded, modular and precise proprioceptive feedback. This work presents a novel curvature sensor module to address the unique soft robotic specifications. The proposed device utilizes a magnet and an electronic Hall effect sensing component to accurately measure curvatures on a soft-bodied bending segment on a flexible circuit board, ensuring contact-free sensing. We verify performance of sensor modules on static and dynamic bending deformations based on a single initial calibration step. To the best of our knowledge, the presented device is the first modular and integrated soft-bodied sensor design that is demonstrated to be accurate up to 7.5Hz with a root mean square error of 0.023cm−1 between measured and actual curvature without filtering out the intrinsic noise, and available for use with soft-bodied kinematic bending chains. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0924-4247 1873-3069 |
DOI: | 10.1016/j.sna.2015.09.041 |