Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space
George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos, Dimitris K. Iakovidis · N/A · 2026
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Summary
Recently, soft robotic procedures are being developed aiming at achieving targeted minimally invasive operations or drug administration in specific locations in the human body.
Abstract Summary
Key Points
- Recently, soft robotic procedures are being developed aiming at achieving targeted minimally invasive operations or drug administration in specific locations in the human body.
- Accordingly, specialized path-planning algorithms need to be investigated for the estimation of efficient paths that would protect the delicate tissue structures and simultaneously satisfy a set of requirements for the efficient navigation of the robot.
- In this context, we propose an image-based 3D pathplanning algorithm, which is an extension of the A* algorithm, for the navigation of a soft-growing robot inside the spinal subarachnoid space (SSS).
- The proposed algorithm is capable of estimating a safe pathway towards the goal location, while ensuring the establishment of anchor points that facilitate the efficient steering of the soft robot.
- The algorithm is evaluated using a highly detailed model of the SSS with respect to its capacity to satisfy the robot movement requirements and path efficiency.
Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space
|Authors: George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos, Dimitris K. Iakovidis
|Venue: arXiv preprint | Year: 2026
|arXiv: 2610.12631
Abstract
Recently, soft robotic procedures are being developed aiming at achieving targeted minimally invasive operations or drug administration in specific locations in the human body. Accordingly, specialized path-planning algorithms need to be investigated for the estimation of efficient paths that would protect the delicate tissue structures and simultaneously satisfy a set of requirements for the efficient navigation of the robot. In this context, we propose an image-based 3D pathplanning algorithm, which is an extension of the A* algorithm, for the navigation of a soft-growing robot inside the spinal subarachnoid space (SSS). The proposed algorithm is capable of estimating a safe pathway towards the goal location, while ensuring the establishment of anchor points that facilitate the efficient steering of the soft robot. The algorithm is evaluated using a highly detailed model of the SSS with respect to its capacity to satisfy the robot movement requirements and path efficiency.
Key Contributions
- Recently, soft robotic procedures are being developed aiming at achieving targeted minimally inva…
- Accordingly, specialized path-planning algorithms need to be investigated for the estimation of e…
- In this context, we propose an image-based 3D pathplanning algorithm, which is an extension of th…
- The proposed algorithm is capable of estimating a safe pathway towards the goal location, while e…
- The algorithm is evaluated using a highly detailed model of the SSS with respect to its capacity …
Topics
- vision
- planning
Code & Data
No code repository linked in paper metadata.
BibTeX
@article{Dimas2026_261012631,
title = {Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space},
author = {George Dimas and Panagiotis G. Kalozoumis and Panagiotis Vartholomeos and Dimitris K. Iakovidis},
year = {2026},
eprint = {2610.12631},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2610.12631}
}
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