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A multimodal magnetoelastic artificial skin for underwater haptic sensing

Iranica Journal of Energy and Environment 2024 97 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Yihao Zhou, Xun Zhao, Jing Xu, Guorui Chen, Trinny Tat, Justin Li, Jun Chen

Summary

This study developed a bioinspired magnetoelastic artificial skin for underwater robots that enables multimodal haptic sensing of marine objects, achieving a 95% classification rate across seven categories including marine creatures and marine litter. The sensor is waterproof, simple in design, and leverages giant magnetoelasticity in soft polymer systems as a platform for sustainable marine resource exploitation.

Body Systems

Future exploitation of marine resources in a sustainable and eco-friendly way requires autonomous underwater robotics with human-like perception. However, the development of such intelligent robots is now impeded by the lack of adequate underwater haptic sensing technology. Inspired by the populational coding strategy of the human tactile system, we harness the giant magnetoelasticity in soft polymer systems as an innovative platform technology to construct a multimodal underwater robotic skin for marine object recognition with intrinsic waterproofness and a simple configuration. The bioinspired magnetoelastic artificial skin enables multiplexed tactile modality in each single taxel and obtains an impressive classification rate of 95% in identifying seven types of marine creatures and marine litter. By introducing another degree of freedom in underwater haptic sensing, this work represents a milestone toward sustainable marine resource exploitation.

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