Deformable Object Manipulation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (44 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
  14 Nov 2020 2 repositories listed
  Further, we evaluate a variety of algorithms on these tasks and highlight challenges for reinforcement learning algorithms, including dealing with a state representation that has a high intrinsic dimensionality and is…
• PLAS: Latent Action Space for Offline Reinforcement Learning
  14 Nov 2020 2 repositories listed
  The goal of offline reinforcement learning is to learn a policy from a fixed dataset, without further interactions with the environment.
• Learning to Manipulate Deformable Objects without Demonstrations
  29 Oct 2019 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Second, instead of jointly learning both the pick and the place locations, we only explicitly learn the placing policy conditioned on random pick points.
• Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
  26 Sep 2018 2 repositories listed
  We compare coverage results from (1) human supervision, (2) a baseline of picking at the uppermost blanket point, and (3) learned pick points.
• PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
  23 Mar 2025 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Creating a physical digital twin of a real-world object has immense potential in robotics, content creation, and XR.
• One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
  3 Mar 2025 1 repository listed
  Deformable object manipulation in robotics presents significant challenges due to uncertainties in component properties, diverse configurations, visual interference, and ambiguous prompts.
• DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment
  15 Oct 2024 1 repository listed
  Traditional imitation learning methods often require a large amount of data and encounter distributional shifts and accumulative errors in these tasks.
• Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
  6 Dec 2022 1 repository listed
  The development of fast and safe approximate NMPC holds the potential to accelerate the adoption of flexible robots in industry.
• Learning Deformable Object Manipulation from Expert Demonstrations
  20 Jul 2022 1 repository listed
  We test DMfD on a set of representative manipulation tasks for a 1-dimensional rope and a 2-dimensional cloth from the SoftGym suite of tasks, each with state and image observations.
• Imitation Learning via Differentiable Physics
  10 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  With the physics prior, ILD policies can not only be transferable to unseen environment specifications but also yield higher final performance on a variety of tasks.
• Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects
  12 May 2022 1 repository listed
  This letter describes an approach to achieve well-known Chinese cooking art stir-fry on a bimanual robot system.
• DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
  24 Oct 2021 1 repository listed
  We propose DiffSRL, a dynamic state representation learning pipeline utilizing differentiable simulation that can embed complex dynamics models as part of the end-to-end training.
• Learning Visible Connectivity Dynamics for Cloth Smoothing
  21 May 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Robotic manipulation of cloth remains challenging for robotics due to the complex dynamics of the cloth, lack of a low-dimensional state representation, and self-occlusions.
• Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
  24 Nov 2020 1 repository listed
  Learning non-rigid registration in an end-to-end manner is challenging due to the inherent high degrees of freedom and the lack of labeled training data.
• Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
  11 Mar 2020 1 repository listed
  Using visual model-based learning for deformable object manipulation is challenging due to difficulties in learning plannable visual representations along with complex dynamic models.
• Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
  20 Jun 2018 1 repository listed Syntology ran 2 of 7 samples · 5 unverified
  Moreover, due to the large amount of data needed to learn these end-to-end solutions, an emerging trend is to learn control policies in simulation and then transfer them over to the real world.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.