This paper presents a new convolutional neural network (CNN) architecture, called Visual Manipulation Relationship Network (VMRN), to recognize the visual ...
By considering the manipulation relationships in object-stacking scenes, it ensures that the robot can complete manipulation tasks safely and reliably. The core ...
Dec 9, 2024 · To this end, this paper presents a new convolutional neural network (CNN) architecture, called Visual Manipulation Relationship Network (VMRN), ...
This package includes our latest proposed robotic grasping algorithms. Main framework is based on code of Faster RCNN.
Nov 11, 2024 · In this paper, we introduce a novel graph-based visual manipulation relationship reasoning architecture that directly outputs object ...
Missing: recognition | Show results with:recognition
Abstract—Exploring the relationship among objects and giving the correct operation sequence is vital for robotic manipulation.
Dec 20, 2024 · A bin filled with a large number of objects provides a compelling test case, as the bin's boundaries facilitate object stacking, resulting in ...
Aug 13, 2021 · This paper proposes a novel graph-based visual manipulation relationship reasoning network (GVMRN) that directly outputs object relationships and manipulation ...
[4] build a Visual Manipulation Relationship Network (VMRN) for representing the stacking relationship in the scene, and collect a dataset for relationship ...
Dec 26, 2022 · A Gated Graph Neural Network (GGNN) is designed for visual manipulation relationship detection, which can help robots detect targets in complex scenes.
Missing: recognition | Show results with:recognition