Deep Reinforcement Learning Based on Local GNN for Goal-Conditioned Deformable Object Rearranging
Yuhong Deng,Chongkun Xia,Xueqian Wang,Lipeng Chen,Yuhong Deng,Chongkun Xia,Xueqian Wang,Lipeng Chen
Object rearranging is one of the most common deformable manipulation tasks, where the robot needs to rearrange a deformable object into a goal configuration. Previous studies focus on designing an expert system for each specific task by model-based or data-driven approaches and the application scenarios are therefore limited. Some research has been attempting to design a general framework to obtai...
