A Novel Enhanced Methodology for Position and Orientation Control of the I-SUPPORT Robot

This study presents a novel method for controlling the position and orientation of the bioinspired I-SUPPORT soft robot, which represents a relevant advancement in the field of soft robotics. The approach is based on module actuation decoupling and fractional-order control, offering a more advanced and robust control solution. This innovation enhances the versatility of the robot and illustrates the efficacy of fractional-order controllers, which are comparable to current meta-learning-based controllers. The research involves experiments in both vertical and horizontal configurations, addressing tasks ranging from simple orientation to complex interactions, such as gentle rubbing during bathing activities with the robot. These experimental results exemplify the efficacy of the proposed control strategy and provide a foundation for future research in soft robotics control, underscoring its potential for broader applications and further technological advancement.

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Publication Details

Journal
Biomimetics
Published
2025-08-01
DOI
https://doi.org/10.3390/biomimetics10080502
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

A Novel Enhanced Methodology for Position and Orientation Control of the I-SUPPORT Robot

Carlos Relaño, Cecilia Laschi, Zhi Qiang Tang, Concepción A. Monje
Biomimetics
Soft Robotics and Applications
article

A Novel Enhanced Methodology for Position and Orientation Control of the I-SUPPORT Robot

Carlos Relaño, Cecilia Laschi, Zhi Qiang Tang, Concepción A. Monje
article en

Abstract

This study presents a novel method for controlling the position and orientation of the bioinspired I-SUPPORT soft robot, which represents a relevant advancement in the field of soft robotics. The approach is based on module actuation decoupling and fractional-order control, offering a more advanced and robust control solution. This innovation enhances the versatility of the robot and illustrates the efficacy of fractional-order controllers, which are comparable to current meta-learning-based controllers. The research involves experiments in both vertical and horizontal configurations, addressing tasks ranging from simple orientation to complex interactions, such as gentle rubbing during bathing activities with the robot. These experimental results exemplify the efficacy of the proposed control strategy and provide a foundation for future research in soft robotics control, underscoring its potential for broader applications and further technological advancement.

BiomimeticsVol. 10(8)
National University of Singapore (SG), Universidad Carlos III de Madrid (ES)
National Research Foundation Singapore
Openalex Percentile: Top 82%
Soft Robotics and Applications
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