Cargando…
Single RGB Image 6D Object Grasping System Using Pixel-Wise Voting Network
A robotic system that can autonomously recognize object and grasp it in a real scene with heavy occlusion would be desirable. In this paper, we integrate the techniques of object detection, pose estimation and grasping plan on Kinova Gen3 (KG3), a 7 degrees of freedom (DOF) robotic arm with a low-pe...
Autores principales: | Zhang, Zhongjie, Zhou, Chengzhe, Koike, Yasuharu, Li, Jiamao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878293/ https://www.ncbi.nlm.nih.gov/pubmed/35208417 http://dx.doi.org/10.3390/mi13020293 |
Ejemplares similares
-
Secure Grasping Detection of Objects in Stacked Scenes Based on Single-Frame RGB Images
por: Xu, Hao, et al.
Publicado: (2023) -
Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network
por: Zhao, Cheng, et al.
Publicado: (2018) -
6DoF Pose Estimation of Transparent Object from a Single RGB-D Image
por: Xu, Chi, et al.
Publicado: (2020) -
Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure
por: Shi, Chaoquan, et al.
Publicado: (2022) -
Dynamic Non-Rigid Objects Reconstruction with a Single RGB-D Sensor
por: Wang, Sen, et al.
Publicado: (2018)