activity
20172025
most citedSoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

68 citations · 139 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.RO2022★ 9 cited

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation

Xingyu Lin, Carl Qi, Yunchu Zhang +5

Effective planning of long-horizon deformable object manipulation requires suitable abstractions at both the spatial and temporal levels. Previous methods typically either focus on…

cs.RO2022

Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module

Carl Qi, Xingyu Lin, David Held

Deformable object manipulation has many applications such as cooking and laundry folding in our daily lives. Manipulating elastoplastic objects such as dough is particularly challe…

cs.RO2022★ 1 cited

Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation

Zixuan Huang, Xingyu Lin, David Held

Self-occlusion is challenging for cloth manipulation, as it makes it difficult to estimate the full state of the cloth. Ideally, a robot trying to unfold a crumpled or folded cloth…

cs.LG2022★ 14 cited

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools

Xingyu Lin, Zhiao Huang, Yunzhu Li +3

We consider the problem of sequential robotic manipulation of deformable objects using tools. Previous works have shown that differentiable physics simulators provide gradients to…

cs.RO2022

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner +2

Liquid state estimation is important for robotics tasks such as pouring; however, estimating the state of transparent liquids is a challenging problem. We propose a novel segmentat…