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Deformable Object Manipulation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
Differentiable Information Enhanced Model-Based Reinforcement Learning
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud
Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools
Learning Generalizable Tool-use Skills through Trajectory Generation
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Robotic Fabric Flattening with Wrinkle Direction Detection
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Learning Deformable Object Manipulation from Expert Demonstrations
Imitation Learning via Differentiable Physics
Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation
Learning Visible Connectivity Dynamics for Cloth Smoothing
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
PLAS: Latent Action Space for Offline Reinforcement Learning
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