Learning to Selectively Push, Group, and Grasp for Multi-Object Delivery Using Diffusion Policies

Simultaneously grasping and delivering multiple objects can significantly enhance robotic work efficiency and has been a key research focus for decades. The primary challenge lies in determining how to push objects, group them, and execute simultaneous grasping for respective groups while considerin...

Descrición completa

Detalles Bibliográficos

Principais autores:	Takahiro Yonemaru, Weiwei Wan, Tatsuki Nishimura, Kensuke Harada
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Access
Assuntos:	Multi-object grasping motion planning imitation learning
Acceso en liña:	https://ieeexplore.ieee.org/document/11574651/
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!