Multi-Mode Pneumatic Artificial Muscles Driven by Hybrid Positive-Negative Pressure

Siyuan Feng, Ruoyu Feng, Shuguang Li · IEEE Transactions on Robotics 42 (2026) 1351-1370 · 2026

The study presents a new type of inflatable artificial muscle that can be programmed for various movements, enhancing soft robotics applications.

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Plain English summary

This research introduces Inflatable Fluid-Driven Origami-Inspired Artificial Muscles (IN-FOAMs), which are designed to mimic lifelike movements in robotics. These muscles are made from low-cost materials and can be actuated using both positive and negative pressures, allowing for flexibility and portability.

Why this matters

IN-FOAMs represent a significant advancement in soft robotics, offering a lightweight and flexible solution for creating artificial muscles. Their programmable nature and ability to perform multiple movements could lead to more advanced and adaptable robotic systems, impacting industries like healthcare and wearable technology.

Key findings

  • IN-FOAMs can contract, bend, twist, and rotate based on programmable skeleton designs.
  • The output force and contraction can be tuned through hybrid positive-negative pressure.
  • Multilayer skeleton structures enhance contraction ratios.
  • A multi-channel skeleton approach integrates multiple motion modes.
  • Manufactured using low-cost heat-sealable materials.

What's new

The introduction of a hybrid pressure system and programmable skeletons in inflatable artificial muscles for enhanced movement capabilities.

Limitations

The abstract does not provide details on the scalability of manufacturing or long-term durability of the IN-FOAMs.

Commercial context

The technology is still in the experimental phase and has not yet been commercialized.

Publication

Publisher
arXiv
Journal
IEEE Transactions on Robotics 42 (2026) 1351-1370
Publication date
March 16, 2026
Research type
Preprint
arXiv
2603.15066
Access
open

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18