Deformable Object Manipulation

Overview

Deformable Object Manipulation studies how robots can perceive and control objects whose shape changes during contact, from cloth folding and cable routing to soft-tissue retraction. Approaches include physics models such as mass-spring systems, Cosserat rods, and material point methods; learned dynamics and world models; and control methods including model-predictive control, reinforcement learning, and imitation learning. Work increasingly combines simulation with real-robot data and uses visual, tactile, or force feedback to handle occlusion, unknown materials, and contact changes. A central challenge is making models both fast and physically reliable: real objects vary across trials, and simulation-to-real transfer, safe interaction, and evaluation beyond task completion remain difficult.

Latest papers

CardsList

104 papers14 papers in the last four weeks, down 12% on the four weeks before. 0.1% of all new papers.

  1. Coordinated Manipulation of Hybrid Deformable-Rigid Objects in Constrained Environments

    Mar 13, 2026Anees Peringal, Anup Teejo Mathew, Panagiotis liatsis +1Cosserat Rod ModelingDeformable Object Manipulation

  2. A gripper for flap separation and opening of sealed bags

    Mar 11, 2026Sergi Foix, Jaume Oriol, Carme Torras +1Robotic Gripper DesignRobotic Grasping

  3. Learning Bimanual Cloth Manipulation with Vision-based Tactile Sensing via Single Robotic Arm

    Mar 11, 2026Dongmyoung Lee, Wei Chen, Xiaoshuai Chen +2Deformable Object ManipulationBimanual Robotic Manipulation

  4. GarmentPile++: Affordance-Driven Cluttered Garments Retrieval with Vision-Language Reasoning

    Mar 4, 2026Mingleyang Li, Yuran Wang, Yue Chen +6Affordance-Based Robotic ManipulationRobotic Manipulation

  5. RL-Based Coverage Path Planning for Deformable Objects on 3D Surfaces

    Mar 3, 2026Yuhang Zhang, Jinming Ma, Feng WuCoverage Path PlanningDeformable Object Manipulation

  6. A Perspective on Open Challenges in Deformable Object Manipulation

    Feb 26, 2026Ryan Paul McKennaa, John OyekanDeformable Object ManipulationGeneralization in Robotic Manipulation

  7. Self-Curriculum Model-based Reinforcement Learning for Shape Control of Deformable Linear Objects

    Feb 25, 2026Zhaowei Liang, Song Wang, Zhao Jin +2Deformable Object ManipulationCurriculum RL

  8. A Real-World Grasping-in-Clutter Performance Evaluation Benchmark for Robotic Food Waste Sorting

    Feb 21, 2026Moniesha Thilakarathna, Xing Wang, Min Wang +3Robotic GraspingRobot Manipulation Benchmarks

  9. Learning to unfold cloth: Scaling up world models to deformable object manipulation

    Feb 18, 2026Jack Rome, Stephen James, Subramanian RamamoorthyDeformable Object ManipulationGeneralization in Robotic Manipulation

  10. TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations

    Feb 16, 2026Guy Freund, Tom Jurgenson, Matan Sudry +1Robotic ManipulationRobot Skill Learning

  11. Posterior-driven Heuristic Support Adaptation in a Probabilistic Treatment of Real2Sim2Real for Vision-Driven Deformable Linear Object Manipulation

    Oct 30, 2025Georgios Kamaras, Craig Innes, Subramanian RamamoorthySimulation-Based InferenceAdaptive Inference

  12. RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator

    Oct 1, 2025Kai Tang, Dipankar Bhattacharya, Hang Xu +3Bimanual Robotic ManipulationDeformable Object Manipulation