A Bio-Inspired Distributed Optical Sensing Solution for Electrohydraulic Soft Continuum Robots

The shift from conventional rigid robots to soft robots is in part motivated by the desire for life-like motion. To further emulate natural systems, we desire tightly integrated distributed sensory networks, akin to those found in the animal kingdom. Borrowing inspiration from nature, we develop a two-part distributed optical sensing solution for a soft continuum robot comprised of hydraulically-amplified self-healing electrostatic actuators (HASELs). We analyze the accuracy and precision of the sensors and integrate them into a compact robotic platform to illustrate their compatability with HASEL actuators. We demonstrate their ability to estimate the pose of the robot end-effector during actuation with submillimeter accuracy. While other viable soft sensing options exist, many of them tend to either be incompatible with electrohydraulic systems or limit their speed, compliance, precision and overall performance. The optical sensing approach presented in this work provides a real-time accurate solution to state estimation of soft electrohydraulic robots.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/robosoft63089.2025.11020969
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A Bio-Inspired Distributed Optical Sensing Solution for Electrohydraulic Soft Continuum Robots

Ingemar Schmidt, J. Sean Humbert, Angella Volchko
Soft Robotics and Applications
article

A Bio-Inspired Distributed Optical Sensing Solution for Electrohydraulic Soft Continuum Robots

Ingemar Schmidt, J. Sean Humbert, Angella Volchko
article en

Abstract

The shift from conventional rigid robots to soft robots is in part motivated by the desire for life-like motion. To further emulate natural systems, we desire tightly integrated distributed sensory networks, akin to those found in the animal kingdom. Borrowing inspiration from nature, we develop a two-part distributed optical sensing solution for a soft continuum robot comprised of hydraulically-amplified self-healing electrostatic actuators (HASELs). We analyze the accuracy and precision of the sensors and integrate them into a compact robotic platform to illustrate their compatability with HASEL actuators. We demonstrate their ability to estimate the pose of the robot end-effector during actuation with submillimeter accuracy. While other viable soft sensing options exist, many of them tend to either be incompatible with electrohydraulic systems or limit their speed, compliance, precision and overall performance. The optical sensing approach presented in this work provides a real-time accurate solution to state estimation of soft electrohydraulic robots.

University of Colorado Boulder (US), Max Planck Institute for Intelligent Systems (DE)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 88%
Soft Robotics and Applications
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