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Updated: Apr 18, 2026

Bioinspired Soft Robot with Incorporated Microelectrodes

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

Biohybrid Robots with Embedded Conductive Fibers for Actuation, Sensing, and Closed-loop Control.

Xinran Xie¹, Yuhui Zhao², Ruiheng Wu¹

¹Biomedical Engineering, Northwestern University; Evanston, IL, USA.

Biorxiv : the Preprint Server for Biology

|April 17, 2026

Summary

This summary is machine-generated.

Researchers developed soft conductive fibers for biohybrid robots, enabling efficient muscle actuation and real-time feedback control. This technology allows for precise movement and reduced muscle fatigue in biohybrid machines.

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Area of Science:

Biohybrid Robotics
Materials Science
Biomedical Engineering

Background:

Living organisms use neural control and proprioception for adaptive movement.
Current biohybrid robots struggle with efficient, regulated interfaces.
Existing systems lack the sophistication of natural neuromuscular systems.

Purpose of the Study:

To introduce a novel bioelectronic interface for biohybrid muscle actuators.
To enable efficient, low-power stimulation and sensitive feedback sensing.
To demonstrate closed-loop control for adaptive locomotion in biohybrid robots.

Main Methods:

Developed soft poly(3,4-ethylenedioxythiophene) (PEDOT) fibers for stimulation and sensing.
Integrated PEDOT fibers with muscle tissues for conformal coupling.
Implemented selective fiber actuation for spatiotemporal control.
Utilized fibers as strain sensors for closed-loop feedback.

Main Results:

Achieved robust muscle contractions at low voltages (1 V) with ultra-low power consumption (0.376 mW).
Demonstrated precise control of a two-muscle biohybrid robot, reaching 5.43 mm/min locomotion speed.
Fibers functioned as high-gauge factor (155.45) strain sensors, resolving micrometer displacements.
Integrated closed-loop control significantly mitigated muscle fatigue during operation.

Conclusions:

Established a versatile platform for efficient actuation and intrinsic feedback sensing in biohybrid systems.
The developed bioelectronic interface offers a blueprint for adaptive, autonomous biohybrid machines.
This technology advances the development of sophisticated biohybrid robots with naturalistic control.