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Deformable Object Manipulation

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Showing 1–44 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
Imitation Learning via Differentiable PhysicsCode1
Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid ObjectsCode2
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening—0
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools—0
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation—0
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation—0
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable SimulatorCode1
DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation—0
Learning Visible Connectivity Dynamics for Cloth SmoothingCode1
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects—0
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems—0
Recurrent Multi-view Alignment Network for Unsupervised Surface RegistrationCode1
PLAS: Latent Action Space for Offline Reinforcement LearningCode1
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object ManipulationCode1
Learning Predictive Representations for Deformable Objects Using Contrastive EstimationCode1
Learning to Manipulate Deformable Objects without DemonstrationsCode1
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-MakingCode0
Sim-to-Real Reinforcement Learning for Deformable Object ManipulationCode0
Bandit-Based Model Selection for Deformable Object Manipulation—0
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