Safe Route Planning For Manipulator Robot Using Seam Carving Technique

Route planning is a critical challenge in ensuring the safe operation of collaborative robotics. Seam Carving, a digital image processing (DIP) technique initially developed for content-aware image resizing, identifies paths of lowest energy within an image. In the context of collaborative robotics, regions with fewer obstacles correspond to lower-energy areas, making this technique a promising tool for determining safe routes. This work explores the application of Seam Carving to generate safe trajectories for robotic manipulators, enabling their operation in diverse environments. Both quantitative and qualitative results demonstrate the effectiveness of this approach, establishing it as an innovative method in the field of collaborative robotics.

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Publication Details

Journal
Journal of Bioengineering, Technologies and Health
Published
2025-04-03
DOI
https://doi.org/10.34178/jbth.v7isuppl2.445
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Safe Route Planning For Manipulator Robot Using Seam Carving Technique

Geraldo L. B. Ramalho, Anderson Lima de Oliveira
Journal of Bioengineering, Technologies and Health
Robotic Path Planning Algorithms
article

Safe Route Planning For Manipulator Robot Using Seam Carving Technique

Geraldo L. B. Ramalho, Anderson Lima de Oliveira
article en

Abstract

Route planning is a critical challenge in ensuring the safe operation of collaborative robotics. Seam Carving, a digital image processing (DIP) technique initially developed for content-aware image resizing, identifies paths of lowest energy within an image. In the context of collaborative robotics, regions with fewer obstacles correspond to lower-energy areas, making this technique a promising tool for determining safe routes. This work explores the application of Seam Carving to generate safe trajectories for robotic manipulators, enabling their operation in diverse environments. Both quantitative and qualitative results demonstrate the effectiveness of this approach, establishing it as an innovative method in the field of collaborative robotics.

Journal of Bioengineering, Technologies and HealthVol. 7(Suppl2)
Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 95%
Robotic Path Planning Algorithms
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