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Chenjie Yang

4 accepted papers

2022

Visual Manipulation Relationship Detection based on Gated Graph Neural Network for Robotic Grasping

IROS 2022poster

Exploring the relationship among objects and giving the correct operation sequence is vital for robotic manipulation. However, most previous algorithms only model the relationship between pairs of objects independently, ignoring the interaction effect between them, which may generate redundant or mi…

Cited by 20SourceScholar
2019

A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes

IROS 2019poster

Autonomous robotic grasping plays an important role in intelligent robotics. However, how to help the robot grasp specific objects in object stacking scenes is still an open problem, because there are two main challenges for autonomous robots: (1) it is a comprehensive task to know what and how to g…

Cited by 87SourceScholar
2019

Task-oriented Grasping in Object Stacking Scenes with CRF-based Semantic Model

IROS 2019poster

In task-oriented grasping, the robot is supposed to manipulate the objects in a task-compatible manner, which is more important but more challenging than just stably grasping. However, most of existing works perform task-oriented grasping only in single object scenes. This greatly limits their pract…

Cited by 24SourceScholar