Cargando…
Bilateral Cross-Modal Fusion Network for Robot Grasp Detection
In the field of vision-based robot grasping, effectively leveraging RGB and depth information to accurately determine the position and pose of a target is a critical issue. To address this challenge, we proposed a tri-stream cross-modal fusion architecture for 2-DoF visual grasp detection. This arch...
Autores principales: | Zhang, Qiang, Sun, Xueying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057080/ https://www.ncbi.nlm.nih.gov/pubmed/36992051 http://dx.doi.org/10.3390/s23063340 |
Ejemplares similares
-
Cascaded Cross-Modality Fusion Network for 3D Object Detection
por: Chen, Zhiyu, et al.
Publicado: (2020) -
Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots
por: Zheng, Wei, et al.
Publicado: (2022) -
Grasping in Robotics
por: Carbone, Giuseppe
Publicado: (2013) -
GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping †
por: Kumra, Sulabh, et al.
Publicado: (2022) -
Object Detection Method for Grasping Robot Based on Improved YOLOv5
por: Song, Qisong, et al.
Publicado: (2021)