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Deformable Object Manipulation

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Showing 1–25 of 44 papers

TitleStatusHype
EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow—0
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation—0
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations—0
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from VideosCode3
Differentiable Information Enhanced Model-Based Reinforcement Learning—0
One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing ScenesCode1
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning—0
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action AlignmentCode1
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation—0
DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation—0
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud—0
Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools—0
Learning Generalizable Tool-use Skills through Trajectory Generation—0
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation—0
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy—0
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation—0
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics—0
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation—0
Robotic Fabric Flattening with Wrinkle Direction Detection—0
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration—0
Imitation Learning As State Matching via Differentiable Physics—0
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible RobotsCode0
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation—0
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering—0
Learning Deformable Object Manipulation from Expert DemonstrationsCode1
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