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APL Bioengineering· 2026Q1

Wireless bioelectronic control architectures for muscle-powered biohybrid robotic systems

Hiroyuki Tetsuka, Minoru Hirano

Short summary

A new engineering framework unifies wireless control design for muscle-powered biohybrid robots, integrating signal delivery, selectivity, scalability, sensing, and biological support.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A unified engineering framework is proposed for wireless control in biohybrid robotics.
  • The framework integrates signal delivery, spatial selectivity, scalability, sensing, feedback, controller implementation, biological life support, and interface stability.
  • Three control strategies (electrical stimulation, optoelectronic stimulation, neuromuscular integration) are analyzed, revealing distinct trade-offs.
  • The tissue-device interface is identified as a key constraint influencing signal delivery, circuit performance, sensing, and biomechanical response.

AI-generated from the title and abstract; the full text is not read.

Abstract

Wireless bioelectronic interfaces are increasingly used to control tissue-engineered, muscle-powered biohybrid robotic systems. However, a unifying engineering framework linking device design to system-level control remains underdeveloped. Here, we formulate wireless control in biohybrid robotics as a coupled co-design problem integrating signal delivery, spatial selectivity, scalability, sensing and feedback, controller implementation, biological life support, and interface stability. We analyze three representative actuation and control strategies—wireless electrical stimulation, wireless optoelectronic stimulation, and neuromuscular integration—which operate in distinct regimes with characteristic trade-offs. Across these modalities, the tissue–device interface emerges as a key constraint governing the interplay among electrical or optical signal delivery, circuit performance, sensing, and biomechanical response. We outline practical design principles spanning electromagnetic field distribution, circuit architecture, actuator mechanics, multi-actuator addressing, and closed-loop control. Rather than treating neural organoids as an inevitable end point, we compare conventional electronic controllers, neuronal culture–silicon interfaces, and organoid–microelectrode array systems as alternative trajectories toward closed-loop autonomy. This system-level perspective provides design guidelines for stable, scalable, and application-driven biohybrid robotic systems.

The authors' abstract, as published at the source. APL Bioengineering, 2026 · DOI ↗

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Field: Cellular and Molecular Neuroscience

Cellular and Molecular NeuroscienceNeuroscience