A physical information neural network-based path planning method for flexible needle puncture of soft tissues

The combined PINN-RRT* approach addresses modeling complexity, path planning difficulty, real-time adaptability, and expert dependence in traditional puncture techniques, significantly improving safety and efficiency.

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Publication Details

Journal
Minimally Invasive Therapy & Allied Technologies
Published
2026-02-05
DOI
https://doi.org/10.1080/13645706.2026.2616591
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A physical information neural network-based path planning method for flexible needle puncture of soft tissues

Yeqian Huang, Fan Zhang, Liu Weikang, Deng Qianxue et al.
Minimally Invasive Therapy & Allied Technologies
Soft Robotics and Applications
article

A physical information neural network-based path planning method for flexible needle puncture of soft tissues

Yeqian Huang, Fan Zhang, Liu Weikang, Deng Qianxue, Li Zheng
article en

Abstract

The combined PINN-RRT* approach addresses modeling complexity, path planning difficulty, real-time adaptability, and expert dependence in traditional puncture techniques, significantly improving safety and efficiency.

Minimally Invasive Therapy & Allied Technologies
Shanghai University of Engineering Science (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Soft Robotics and Applications
DOISourceOpenAlex
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A physical information neural network-based path planning method for flexible needle puncture of soft tissues — Yeqian Huang, Fan Zhang, et al. · Minimally Invasive Therapy & Allied Technologies (2026) | TGRS Research Map | TGRS