Robot multi-target high performance grasping detection based on random sub-path fusion

Robot multi-target high performance grasping detection based on random sub-path fusion

Abstract To address the challenge of grasping multi-target objects with uncertain shape, attitude, scale, and stacking, this study proposes a high-performance planar pixel-level grasping network called random sub-path grasp fusion network (RSPFG-Net). The paper introduces the agile grasping represen...

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Bibliographic Details
Main Authors: Bin Zhao, Lianjun Chang, Chengdong Wu, Zhenyu Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Grasp detection
RSPFG-Net
Adaptive grasping model
Random subpath
Online Access:https://doi.org/10.1038/s41598-025-93490-8
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https://doi.org/10.1038/s41598-025-93490-8

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