Vision-Based Reinforcement Learning for Robotic Grasping of Moving Objects on a Conveyor
This study introduces an autonomous framework for grasping moving objects on a conveyor belt, enabling unsupervised detection, grasping, and categorization. The work focuses on two common object shapes—cylindrical cans and rectangular cartons—transported at a constant speed of 3–7 cm/s on the convey...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-10-01
|
| Colección: | Machines |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2075-1702/13/10/973 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|