Cargando…
Keypoint-Based Robotic Grasp Detection Scheme in Multi-Object Scenes
Robot grasping is an important direction in intelligent robots. However, how to help robots grasp specific objects in multi-object scenes is still a challenging problem. In recent years, due to the powerful feature extraction capabilities of convolutional neural networks (CNN), various algorithms ba...
Autores principales: | Li, Tong, Wang, Fei, Ru, Changlei, Jiang, Yong, Li, Jinghong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002942/ https://www.ncbi.nlm.nih.gov/pubmed/33803673 http://dx.doi.org/10.3390/s21062132 |
Ejemplares similares
-
An Improved Point Cloud Descriptor for Vision Based Robotic Grasping System
por: Wang, Fei, et al.
Publicado: (2019) -
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes
por: Zhang, Yang, et al.
Publicado: (2023) -
Keypoint regression strategy and angle loss based YOLO for object detection
por: Wang, Xiuling, et al.
Publicado: (2023) -
Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection
por: Wong, Ching-Chang, et al.
Publicado: (2021) -
Secure Grasping Detection of Objects in Stacked Scenes Based on Single-Frame RGB Images
por: Xu, Hao, et al.
Publicado: (2023)