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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
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.
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.

