Autonomously Untangling Long Cables
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Abstract (arXiv)
Cables are ubiquitous in many settings and it is often useful to untangle them. However, cables are prone to self-occlusions and knots, making them difficult to perceive and manipulate. The challenge increases with cable length: long cables require more complex slack management to facilitate observability and reachability. In this paper, we focus on autonomously untangling cables up to 3 meters in length using a bilateral robot. We develop RGBD perception and motion primitives to efficiently untangle long cables and novel gripper jaws specialized for this task. We present Sliding and Grasping for Tangle Manipulation (SGTM), an algorithm that composes these primitives to iteratively untangle cables with success rates of 67% on isolated overhand and figure-eight knots and 50% on more complex configurations. Supplementary material, visualizations, and videos can be found at https://sites.google.com/view/rss-2022-untangling/home.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 23 of its 31 references that are in the map. First posted on arXiv 16 Jul 2022.
Builds on
23 of 31 references.
References · 23
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
- 2017Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperationcited by 286
- 2018Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulationcited by 140
- 2018Sim-to-Real Reinforcement Learning for Deformable Object Manipulationcited by 124
- 2017Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulationcited by 90
- 2021FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfoldingcited by 80
- 2020Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networkscited by 77
- 2019Learning to Manipulate Deformable Objects without Demonstrationscited by 76
- 2020Learning Predictive Representations for Deformable Objects Using Contrastive Estimationcited by 72
- 2021Learning Visible Connectivity Dynamics for Cloth Smoothingcited by 61
- 2021FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policycited by 54
11 more
- 2020Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Datacited by 51
- 2019Cable Manipulation with a Tactile-Reactive Grippercited by 44
- 2019Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisorcited by 44
- 2020VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulationcited by 40
- 2019Learning Robotic Manipulation through Visual Planning and Actingcited by 39
- 2020Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experiencecited by 24
- 2020Untangling Dense Knots by Learning Task-Relevant Keypointscited by 21
- 2021SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereocited by 18
- 2021Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policiescited by 11
- 2020Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabricscited by 10
- 2021Disentangling Dense Multi-Cable Knotscited by 7
Built on by
Citing papers per year: 2022: 1; 2023: 4; 2024: 1; 2025: 1; 2026: 2.
9 papers.
- 2023Multi-Stage Cable Routing through Hierarchical Imitation Learningcited by 59
- 2023Learning Sequential Acquisition Policies for Robot-Assisted Feedingcited by 6
- 2023DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physicscited by 6
- 2022SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perceptioncited by 5
- 2023DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objectscited by 4
- 2024Automating Deformable Gasket Assemblycited by 1
- 2025Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Controlcited by 0
- 2026ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracingcited by 0
- 2026Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Datacited by 0
- 2026Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data15 May 2026
- 2026ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing19 Mar 2026
- 2025Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control11 Mar 2025
- 2024Automating Deformable Gasket Assembly22 Aug 2024
- 2023DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects23 Dec 2023
- 2023DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics11 Dec 2023
- 2023Learning Sequential Acquisition Policies for Robot-Assisted Feeding11 Sep 2023
- 2023Multi-Stage Cable Routing through Hierarchical Imitation Learning18 Jul 2023
- 2022SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception27 Sep 2022