1 code implementation • 16 Oct 2023 • Yuhong Deng, Xueqian Wang, Lipeng Chen
Our method reaches much higher success rates on a variety of deformable rearrangement tasks (96. 3% on average) than state-of-the-art method in simulation experiments.
no code implementations • 21 Feb 2023 • Yuhong Deng, Chongkun Xia, Xueqian Wang, Lipeng Chen
Some research has been attempting to design a general framework to obtain more advanced manipulation capabilities for deformable rearranging tasks, with lots of progress achieved in simulation.
no code implementations • 21 Feb 2023 • Yuhong Deng, Chongkun Xia, Xueqian Wang, Lipeng Chen
Rearranging deformable objects is a long-standing challenge in robotic manipulation for the high dimensionality of configuration space and the complex dynamics of deformable objects.
no code implementations • 21 Feb 2023 • Yuhong Deng, Xiaofeng Guo, Yixuan Wei, Kai Lu, Bin Fang, Di Guo, Huaping Liu, Fuchun Sun
A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object stably.
1 code implementation • 8 Jan 2023 • Kai Mo, Chongkun Xia, Xueqian Wang, Yuhong Deng, Xuehai Gao, Bin Liang
Foldformer can complete multi-step cloth manipulation tasks even when configurations of the cloth (e. g., size and pose) vary from configurations in the general demonstrations.
1 code implementation • 10 Mar 2020 • Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun
In this paper, we propose a novel task, Manipulation Question Answering (MQA), where the robot performs manipulation actions to change the environment in order to answer a given question.