Tangled: Learning to untangle ropes with RGB-D perception

Deep learning for detecting robotic grasps

Lenz, I., Lee, H., & Saxena, A. (2013) · Int. J. Robotics Res. · doi:10.1177/0278364914549607 · Cited by 1,820 · see citing works

Cutting-plane training of structural SVMs

Joachims, T., Finley, T., & Yu, C. (2009) · Machine-mediated learning · doi:10.1007/s10994-009-5108-8 · Cited by 1,136 · see citing works

Robotic Grasping of Novel Objects using Vision

Saxena, A., Driemeyer, J., & Ng, A. Y. (2008) · The International Journal of Robotics Research · doi:10.1177/0278364907087172 · Cited by 950 · see citing works

Learning human activities and object affordances from RGB-D videos

Koppula, H. S., Gupta, R., & Saxena, A. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913478446 · Cited by 680 · see citing works

Efficient grasping from RGBD images: Learning using a new rectangle representation

Yun, J., Moseson, S., & Saxena, A. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980145 · Cited by 677 · see citing works

Semantic Labeling of 3D Point Clouds for Indoor Scenes

Koppula, H. S., Anand, A., Joachims, T., & Saxena, A. (2011) · neural information processing systems · Cited by 322 · see citing works

Contextually guided semantic labeling and search for three-dimensional point clouds

Anand, A., Koppula, H. S., Joachims, T., & Saxena, A. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364912461538 · Cited by 216 · see citing works

Tracking deformable objects with point clouds

Schulman, J., Lee, A. P., Ho, J., & Abbeel, P. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630714 · Cited by 171 · see citing works

Representation and detection of deformable shapes

Felzenszwalb, P. F. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.35 · Cited by 161 · see citing works

Robotic Grasping of Novel Objects

Saxena, A., Driemeyer, J., Kearns, J., & Ng, A. Y. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7503.003.0156 · Cited by 155 · see citing works

Learning to place new objects in a scene

Jiang, Y. P., Lim, M., Zheng, C., & Saxena, A. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364912438781 · Cited by 136 · see citing works

Anticipating Human Activities using Object Affordances for Reactive Robotic Response

Koppula, H., & Saxena, A. (2013) · Robotics: Science and Systems IX · doi:10.15607/rss.2013.ix.006 · Cited by 130 · see citing works

Deep Learning for Detecting Robotic Grasps

Lenz, I., Lee, H., & Saxena, A. (2013) · Robotics: Science and Systems IX · doi:10.15607/rss.2013.ix.012 · Cited by 126 · see citing works

Hallucinated Humans as the Hidden Context for Labeling 3D Scenes

Yun, J., Koppula, H. S., & Saxena, A. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.385 · Cited by 118 · see citing works

Classification of knot projections

Dowker, C. H., & Thistlethwaite, M. B. (1983) · Topology and its Applications · doi:10.1016/0166-8641(83)90004-4 · Cited by 110 · see citing works

Motion Planning for Robotic Manipulation of Deformable Linear Objects

Saha, M., Isto, P., & Latombe, J. (2008) · Springer eBooks · doi:10.1007/978-3-540-77457-0_3 · Cited by 101 · see citing works

3D-Based Reasoning with Blocks, Support, and Stability

Jia, Z., Gallagher, A., Saxena, A., & Chen, T. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.8 · Cited by 94 · see citing works

Motion planning for robotic manipulation of deformable linear objects

Saha, M., & Isto, P. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2006.1642074 · Cited by 81 · see citing works

Interactive segmentation, tracking, and kinematic modeling of unknown 3D articulated objects

Katz, D., Kazemi, M., Andrew Bagnell, J., & Stentz, A. (2013) · 2013 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2013.6631292 · Cited by 74 · see citing works

Modeling and perception of deformable one-dimensional objects

Javdani, S., Tandon, S., Tang, J., O’Brien, J. F., & Abbeel, P. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980431 · Cited by 50 · see citing works

Manipulation of deformable linear objects using knot invariants to classify the object condition based on image sensor information

Matsuno, T., TAMAKI, D., Arai, F., & Fukuda, T. (2006) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2006.878557 · Cited by 43 · see citing works

Geometrically Induced Force Interaction for Three-Dimensional Deformable Models

Yeo, S. Y., Xie, X., SAZONOV, I. A., & Nithiarasu, P. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2092434 · Cited by 39 · see citing works

Simple Model and Deformation Control of a Flexible Rope using Constant, High-Speed Motion of a Robot Arm

Yamakawa, Y., Namiki, A., & Ishikawa, M. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6224763 · Cited by 31 · see citing works

Knotting manipulation of a flexible rope by a multifingered hand system based on skill synthesis

Yamakawa, Y., Namiki, A., Ishikawa, M., & Shimojo, M. (2008) · 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2008.4650802 · Cited by 29 · see citing works

Manipulation of Flexible Rope Using Topological Model Based on Sensor Information

Matsuno, T., & Fukuda, T. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281944 · Cited by 27 · see citing works

A new strategy for making a knot with a general-purpose arm

Vinh, T. V., Tomizawa, T., Kudoh, S., & Suehiro, T. (2012) · 2012 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2012.6224852 · Cited by 21 · see citing works

Deformable shape finding with models based on kernel methods

Chang, C.-C. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.877344 · Cited by 9 · see citing works

Object Detection and Recognition via Deformable Illumination and Deformable Shape

Zhou, Q., Ma, L., Çelenk, M., & Chelberg, D. M. (2006) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2006.313113 · Cited by 5 · see citing works

Directed acyclic graph representation of deformable models

Goldenstein, S., Vogler, C., & Metaxas, D. (2003) · IEEE Workshop on Motion and Video Computing · doi:10.1109/motion.2002.1182218 · Cited by 4 · see citing works

Virtual rope theory for fabric manipulation

Shibata, M., Ota, T., & Hirai, S. (2009) · IEEE International Symposium on Assembly and Manufacturing · doi:10.1109/isam.2009.5376934 · Cited by 3 · see citing works

Adaptive deformable models

Goldenstein, S., Vogler, C., & Velho, L. C. P. R. (2004) · Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI) · doi:10.1109/sibgra.2004.1352984 · Cited by 3 · see citing works

Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey

Sánchez, J. M. O., Ramón, J. A. C., Bouzgarrou, B. C., & Mezouar, Y. (2018) · The International Journal of Robotics Research · doi:10.1177/0278364918779698 · Cited by 454 · see citing works

Modeling, learning, perception, and control methods for deformable object manipulation

Yin, H., Varava, A., & Kragic, D. (2021) · Science Robotics · doi:10.1126/scirobotics.abd8803 · Cited by 299 · see citing works

Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting

Lim, V., Huang, H., Chen, L. Y., Wang, J., Ichnowski, J., Seita, D., Laskey, M., & Goldberg, K. Y. (2022) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra46639.2022.9811651 · Cited by 53 · see citing works

Ariadne+: Deep Learning--Based Augmented Framework for the Instance Segmentation of Wires

Caporali, A., Zanella, R., Greogrio, D. D., & Palli, G. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3154477 · Cited by 50 · see citing works

Robotic Cable Routing with Spatial Representation

Jin, S., Lian, W., Wang, C., Tomizuka, M., & Schaal, S. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3158377 · Cited by 50 · see citing works

Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints

Wang, Y., McConachie, D., & Berenson, D. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561012 · Cited by 46 · see citing works

Learning Efficient Policies for Picking Entangled Wire Harnesses: An Approach to Industrial Bin Picking

Zhang, X., Domae, Y., Wan, W., & Harada, K. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3222995 · Cited by 44 · see citing works

Let’s Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation

Gregorio, D. D., Palli, G., & Stefano, L. D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20890-5_42 · Cited by 42 · see citing works

Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework

Lu, B., Li, B., Chen, W., Jin, Y., Zhao, Z., Dou, Q., Heng, P., & Liu, Y. (2021) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2021.3136185 · Cited by 41 · see citing works

Binding of food materials with a tension-sensitive elastic thread

Iwamasa, H., & Hirai, S. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139792 · Cited by 40 · see citing works

Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

Zhang, H., Ichnowski, J., Seita, D., Wang, J., Huang, H., & Goldberg, K. Y. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561630 · Cited by 40 · see citing works

Automated assembly of non-rigid objects

Makris, S., Dietrich, F., Kellens, K., & Hu, S. J. (2023) · CIRP Annals · doi:10.1016/j.cirp.2023.05.003 · Cited by 38 · see citing works

AutoBag: Learning to Open Plastic Bags and Insert Objects

Chen, L. Y., Shi, B., Seita, D., Cheng, R., Kollar, T., Held, D., & Goldberg, K. Y. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10161402 · Cited by 37 · see citing works

Model-based reinforcement learning approach for deformable linear object manipulation

Han, H., Paul, G., & Matsubara, T. (2017) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2017.8256194 · Cited by 35 · see citing works

Untangling Dense Knots by Learning Task-Relevant KeypointsPreprint

Grannen, J., Sundaresan, P., Thananjeyan, B., Ichnowski, J., Balakrishna, A., Hwang, M., Viswanath, V., Laskey, M., Gonzalez, J. E., & Goldberg, K. Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.04999 · Cited by 30 · see citing works

Untangling Multiple Deformable Linear Objects in Unknown Quantities With Complex Backgrounds

Huang, X., Chen, D., Guo, Y., Jiang, X., & Liu, Y. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3233949 · Cited by 29 · see citing works

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies

Sundaresan*, P., Grannen*, J., Thananjeyan, B., Balakrishna, A., Ichnowski, J., Novoseller, E., Hwang, M., Laskey, M., Gonzalez, J., & Goldberg, K. (2021) · Robotics: Science and Systems XVII · doi:10.15607/rss.2021.xvii.013 · Cited by 26 · see citing works

Interaction skills for a coat-check robot: Identifying and handling the boundary components of clothes

Twardon, L., & Ritter, H. J. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139710 · Cited by 26 · see citing works

Model-Based Manipulation of Linear Flexible Objects: Task Automation in Simulation and Real World

Chang, P., & Padır, T. (2020) · Machines · doi:10.3390/machines8030046 · Cited by 24 · see citing works

Disentangling Dense Multi-Cable Knots

Viswanath, V., Grannen, J., Sundaresan, P., Thananjeyan, B., Balakrishna, A., Novoseller, E., Ichnowski, J., Laskey, M., Gonzalez, J. E., & Goldberg, K. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros51168.2021.9636397 · Cited by 21 · see citing works

Learning Graph Dynamics With External Contact for Deformable Linear Objects Shape Control

Huang, Y., Xia, C., Wang, X., & Liang, B. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3264764 · Cited by 21 · see citing works

Autonomously Untangling Long Cables

Viswanath, V., Shivakumar, K., Kerr, J. H., Thananjeyan, B., Novoseller, E., Ichnowski, J., Escontrela, A., Laskey, M., Gonzalez, J. E., & Goldberg, K. Y. (2022) · Robotics: Science and Systems · doi:10.15607/rss.2022.xviii.034 · Cited by 20 · see citing works

A closed-loop bin picking system for entangled wire harnesses using bimanual and dynamic manipulation

Zhang, X., Domae, Y., Wan, W., & Harada, K. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102670 · Cited by 20 · see citing works

Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects

Kadi, H. A., & Terzić, K. (2023) · Sensors · doi:10.3390/s23052389 · Cited by 19 · see citing works

A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises

Lu, B., Chen, W., Jin, Y., Zhang, D., Dou, Q., Chu, H. K., Heng, P., & Liu, Y. (2020) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros45743.2020.9341445 · Cited by 19 · see citing works

DLOFTBs – Fast Tracking of Deformable Linear Objects with B-splines

Kicki, P., Szymko, A., & Walas, K. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10160437 · Cited by 16 · see citing works

Learning-based control approaches for service robots on cloth manipulation and dressing assistance: a comprehensive review

Nocentini, O., Kim, J., Bashir, Z. M., & Cavallo, F. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01078-4 · Cited by 15 · see citing works

Multi-Stage Suture Detection for Robot Assisted Anastomosis Based on Deep Learning

Hu, Y., Gu, Y., Yang, J., & Yang, G. (2018) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2018.8461131 · Cited by 15 · see citing works

A Survey of Behavior Learning Applications in Robotics -- State of the Art and PerspectivesPreprint

Fabisch, A., Petzoldt, C., Otto, M., & Kirchner, F. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.01868 · Cited by 15 · see citing works

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception

Shivakumar, K., Viswanath, V., Gu, A., Avigal, Y., Kerr, J. H., Ichnowski, J., Cheng, R., Kollar, T., & Goldberg, K. Y. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10160574 · Cited by 13 · see citing works

3D DLO Shape Detection and Grasp Planning from Multiple 2D Views

Caporali, A., Galassi, K., & Palli, G. (2021) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim46487.2021.9517655 · Cited by 12 · see citing works

An approach based on machine vision for the identification and shape estimation of deformable linear objects

Fresnillo, P. M., Vasudevan, S., Mohammed, W. M., Lastra, J. L. M., & García, J. A. P. (2023) · Mechatronics · doi:10.1016/j.mechatronics.2023.103085 · Cited by 12 · see citing works

A novel cable-grasping planner for manipulator based on the operation surface

Wu, W. H., Zhu, Y., Zheng, X., & Guo, Y. H. (2021) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2021.102252 · Cited by 11 · see citing works

Learning to Dexterously Pick or Separate Tangled-Prone Objects for Industrial Bin Picking

Zhang, X., Domae, Y., Wan, W., & Harada, K. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3291271 · Cited by 11 · see citing works

Shape estimation for elongated deformable object using B-spline chained multiple random matrices model

Yao, G., Saltus, R., & Dani, A. P. (2020) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-020-00149-w · Cited by 11 · see citing works

Particle Filters in Latent Space for Robust Deformable Linear Object Tracking

Yang, Y., Stork, J. A., & Stoyanov, T. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3216985 · Cited by 10 · see citing works

Knot grasping, folding, and re-grasping

Wang, W., & Balkcom, D. (2018) · The International Journal of Robotics Research · doi:10.1177/0278364918754676 · Cited by 10 · see citing works

Cross-Scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Feature Learning

Gu, Y., Hu, Y., Zhang, L., Yang, J., & Yang, G. (2018) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593622 · Cited by 9 · see citing works

Calibrationless Bimanual Deformable Linear Object Manipulation With Recursive Least Squares Filter

Szymko, A., Kicki, P., & Walas, K. (2024) · IEEE Access · doi:10.1109/access.2024.3438624 · Cited by 6 · see citing works

Learning-based cable coupling effect modeling for robotic manipulation of heavy industrial cables

Mou, F., Wang, B., & Wu, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-09643-6 · Cited by 6 · see citing works

Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads

Gu, Y., Yang, J., & Yang, G. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3198402 · Cited by 6 · see citing works

DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects

Wang, Z., & Qureshi, A. H. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3307003 · Cited by 6 · see citing works

Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration

Akbulut, B., Girgin, T., Mehrabi, A., Asada, M., Uğur, E., & Öztop, E. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10160895 · Cited by 6 · see citing works

Robotic perception and manipulation of deformable linear objects: A survey

Caporali, A., Cuiral-Zueco, I., Nicolás, G. L., & Palli, G. (2026) · The International Journal of Robotics Research · doi:10.1177/02783649261432253 · Cited by 5 · see citing works

Tracking linear deformable objects using slicing method

Rastegarpanah, A., Howard, R., & Stolkin, R. (2021) · Robotica · doi:10.1017/s0263574721001065 · Cited by 5 · see citing works

Bi-Manual Robot Shoe Lacing

Luo, H., & Demiris, Y. (2023) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10341934 · Cited by 5 · see citing works

Symplectic Integration for Multivariate Dynamic Spline-Based Model of Deformable Linear Objects

Khalifa, A., & Palli, G. (2021) · Journal of Computational and Nonlinear Dynamics · doi:10.1115/1.4052571 · Cited by 5 · see citing works

Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables.Preprint

Zhang, H., Ichnowski, J., Seita, D., Wang, J., & Goldberg, K. Y. (2020) · arXiv (Cornell University) · Cited by 4 · see citing works

Robotic Shoe Packaging Strategies Based on a Single Soft-Gripper System and Extrinsic Resources

Dong, Y., Duan, J., Liu, Y., Dai, Z., & Manoonpong, P. (2023) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm58088.2023.10218977 · Cited by 3 · see citing works

Learning Tactilemotor Policy for Robotic Cable Following via Sim-to-Real Transfer

Sun, C., Duan, B., Qian, K., & Zhao, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-6495-6_6 · Cited by 3 · see citing works

Control Method for Robotic Manipulation of Heavy Industrial Cables

Mou, F., & Wu, D. (2021) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma52036.2021.9512586 · Cited by 3 · see citing works

Recognizing and Picking Up Deformable Linear Objects Based on Graph

Shi, X., & Yamakawa, Y. (2025) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2025.p0335 · Cited by 2 · see citing works

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Li, Y., Wang, X., Song, X., Fan, C., Zhu, B., Peng, J., Liang, Q., Lam, J., Sze, K., & Kwok, K. T. (2026) · Advanced Intelligent Systems · doi:10.1002/aisy.202501120 · Cited by 2 · see citing works

Simulated Mounting of a Flexible Wire for Automated Assembly of Vehicle Cabling Systems

Leão, G., Sousa, A. J., Dinis, D., & Veiga, G. M. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-21065-5_32 · Cited by 2 · see citing works

Cable manipulation with partially occluded vision feedback

Lin, S., Jiang, X., & Liu, Y. (2022) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio55434.2022.10011815 · Cited by 2 · see citing works

Re-configuring Knots to Simplify Manipulation

Wang, W., & Balkcom, D. (2020) · Springer proceedings in advanced robotics · doi:10.1007/978-3-030-43089-4_31 · Cited by 2 · see citing works

Braid-based entanglement-free trajectory planning for multiple tethered robots

Cao, M., Cao, K., Xu, X., Yuan, S., Wong, Y. L., & Xie, L. (2025) · The International Journal of Robotics Research · doi:10.1177/02783649251400382 · Cited by 1 · see citing works

Remote Collaboration in a Complex Environment

Zou, H., & Hao Tang, A. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-44289-7_76 · Cited by 1 · see citing works

A Perspective on Open Challenges in Deformable Object Manipulation

McKennaa, R. P., & Oyekan, J. (2026) · arXiv · doi:10.48550/arxiv.2602.22998

String tying operation by industrial manipulator based on shape abstracted data

Watanabe, T., Matsuno, T., Shirakawa, T., & Minami, M. (2017) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2017.8015922

String Untying Planning Based on Knot Theory and Algorithms to Generate the Motion of a Manipulator

Matsuno, T., Shirakawa, T., Watanabe, T., & Minami, M. (2018) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.36.429

Alignment of an Unmarked Deformable Sheet Like Object Based on NURBS Fitting

Li, M., Wei, H., Jiang, X., & Liu, Y. (2019) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio49542.2019.8961618

Model-based manipulation of linear flexible objects

Chang, P. (2021) · doi:10.17760/d20409222

Proposal of new topology information Face-list for manipulation planning of deformable string tying

Wang, J., Shirakawa, T., Watanabe, T., Toda, Y., & Matsuno, T. (2023) · SICE Journal of Control Measurement and System Integration · doi:10.1080/18824889.2023.2236367

Learning robotic manipulation of deformable objects in the real world

Lee, R. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.242729

Background, Introduction and Motivation

Zhang, X., Domae, Y., Wan, W., & Harada, K. (2024) · Springer series in advanced manufacturing · doi:10.1007/978-3-031-67454-9_1

Theoretical analysis method of filament bending–twisting energy and entanglement degree in forming α filament knotoid

Chen, C., Ma, W., Ma, Z., Xu, Y., Yang, L., & Huang, Z. (2025) · Textile Research Journal · doi:10.1177/00405175251342479

Vision Guided Cable Installation in Constraint Environments Utilizing Parametric Curve Representation

Jiang, X., Wei, H., Liu, Z., Liao, W., & Ran, W. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247716

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies

Sundaresan, P., Grannen, J., Thananjeyan, B., Balakrishna, A., Ichnowski, J., Novoseller, E., Hwang, M., Laskey, M., Gonzalez, J. E., & Goldberg, K. (2021) · arXiv · doi:10.48550/arxiv.2107.08942

Learning Deformable Object Manipulation Using Task-Level Iterative Learning Control

Suresh, K., & Atkeson, C. G. (2026) · Robotics: Science and Systems · doi:10.15607/rss.2026.xxii.126

Knotting Rope by Learning from Visual Examples

Miyazaki, M., Ikeuchi, K., Miyazaki, M., & Ikeuchi, K. (2005)

Rope Structure Recognition for Manipulation Using Topological Model and Knot Invariant

Matsuno, T., TAMAKI, D., Arai, F., & Fukuda, T. (2005) · Transactions of the Society of Instrument and Control Engineers · doi:10.9746/sicetr1965.41.366 · Cited by 6 · see citing works

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

Sundaresan, P., Grannen, J., Thananjeyan, B., Balakrishna, A., Laskey, M., Stone, K., Gonzalez, J. E., & Goldberg, K. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra40945.2020.9197121 · Cited by 107 · see citing works