Smart MaterialsPreprint

Bidirectional Optical sensors for Actuation Tracking (BOAT) in soft lattice systems

Petr Trunin, Carolina Gay, Anderson Brazil Nardin, Trevor Exley, Diana Cafiso, Lucia Beccai · arXiv · 2026

The Bidirectional Optical sensor for Actuation Tracking (BOAT) enables precise monitoring of deformation in soft lattice structures used in robotics.

High AI ConfidenceGood SourceLaboratory ResearchEarly Research

Plain English summary

This research introduces a new optical sensor designed to monitor the deformation of soft lattice structures in robotics. The sensor, called BOAT, is integrated with a pneumatic artificial muscle and can distinguish between compression and extension states during operation. Its performance was validated through numerical simulations and experimental tests over multiple pressure cycles.

Why this matters

As soft robotics becomes more prevalent, the ability to accurately monitor deformation is crucial for improving their functionality and reliability. This sensor technology could enhance the performance of soft robotic systems, making them more effective in various applications.

Key findings

  • Introduction of the Bidirectional Optical sensor for Actuation Tracking (BOAT).
  • Sensor co-printed with lattice structures actuated by pneumatic artificial muscles.
  • Clear discrimination between compression and extension states.
  • Highly repeatable response demonstrated over 100 pressure cycles.
  • Implementation of a digital shadow for synchronization with virtual counterparts.

What's new

The integration of a novel optical sensor with lattice structures for real-time deformation monitoring in soft robotics.

Limitations

The abstract does not provide details on the scalability or practical deployment of the sensor in real-world applications.

Commercial context

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

Publication

Publisher
arXiv
Publication date
May 18, 2026
Research type
Preprint
arXiv
2605.18482
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