Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

ABSTRACT Current intestinal training models typically exhibit rigid or static structures, limiting their usefulness for validating endoluminal robots and supporting realistic endoscopy training. A programmable pneumatic actuator system is presented in this paper, integrated within a modular soft robotic colon simulator that mimics physiological motility through distributed pneumatic actuation and custom control. The system is constructed from anatomically representative segments (rectum to cecum) and offers on‐demand specification of contraction timing, location, and amplitude, enabling experimentally demonstrated peristaltic, segmental, and mass‐movement‐like actuation, with programmable pressure and timing parameters adjustable for pathological‐like benchmark scenarios. Finite element simulations guide actuator geometry and material layout optimization, and comparison with experiments confirms agreement in pressure‐deformation response and luminal shape change. Functional testing demonstrates real‐time deformation and compatibility with colonoscope‐based inspection, while capsule endoscope transit experiments reveal frequency‐dependent transport and trapping behavior, providing insights into controllable endoluminal locomotion. The modular architecture of the system allows rapid reconfiguration across anatomical variations and supports replacement or integration of lesion and sensor modules. This programmable colon simulator provides a versatile platform for advancing gastrointestinal soft robotics, capsule diagnostics, mechanobiology, and future clinical‐training research, significantly enhancing the realism of benchtop device testing while reducing the reliance on in vivo experimentation.

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Publication Details

Journal
Advanced Materials Technologies
Published
2026-08-17
DOI
https://doi.org/10.1002/admt.71240
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

Shyam Prasad, Xizheng Fang, Bo Tian, Yang Liu et al.
Advanced Materials Technologies
Soft Robotics and Applications
article

Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

Shyam Prasad, Xizheng Fang, Bo Tian, Yang Liu, Andrew Bickerdike, Lucy Adams, Zepeng Wang
article en

Abstract

ABSTRACT Current intestinal training models typically exhibit rigid or static structures, limiting their usefulness for validating endoluminal robots and supporting realistic endoscopy training. A programmable pneumatic actuator system is presented in this paper, integrated within a modular soft robotic colon simulator that mimics physiological motility through distributed pneumatic actuation and custom control. The system is constructed from anatomically representative segments (rectum to cecum) and offers on‐demand specification of contraction timing, location, and amplitude, enabling experimentally demonstrated peristaltic, segmental, and mass‐movement‐like actuation, with programmable pressure and timing parameters adjustable for pathological‐like benchmark scenarios. Finite element simulations guide actuator geometry and material layout optimization, and comparison with experiments confirms agreement in pressure‐deformation response and luminal shape change. Functional testing demonstrates real‐time deformation and compatibility with colonoscope‐based inspection, while capsule endoscope transit experiments reveal frequency‐dependent transport and trapping behavior, providing insights into controllable endoluminal locomotion. The modular architecture of the system allows rapid reconfiguration across anatomical variations and supports replacement or integration of lesion and sensor modules. This programmable colon simulator provides a versatile platform for advancing gastrointestinal soft robotics, capsule diagnostics, mechanobiology, and future clinical‐training research, significantly enhancing the realism of benchtop device testing while reducing the reliance on in vivo experimentation.

Advanced Materials Technologies
University of Exeter (GB), Royal Devon & Exeter NHS Foundation Trust (GB)
Medical Research Council
Openalex Percentile: Top 19%
Soft Robotics and Applications
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