A case study of flexible object manipulation
Abstract
This article describes a project undertaken to explore pro gramming physical operations on complex flexible objects. Uncertainty about the exact state of the object makes it im possible to precisely specify the actions to be performed at the time the program is written. Furthermore, the detailed conse quences of manipulations on flexible objects cannot be deter mined before the action is performed. Lacking precise specifi cations, the programmer must abstract the essential properties of objects and actions. In an effort to study manipulation offlexible objects, a system to tie knots in rope with a robot arm was developed. The system includes an extensible graph representation for knots, a vision system that binds the contour of a physical rope to an abstract description, and a knot-tying language based on parametric motion commands. Knots of modest complexity, such as a bowline or figure 8, can be tied in a va riety of ropes with minimal constraints on the initial configu ration of the rope. The work highlights the importance of software engineering principles and a good programming en vironment for robot program development.
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The common strategy for producing a topological representation is to use the extracted intersection and segments of the rope from thinned binary images.
“The common strategy for producing TR is to use the extracted intersection and segments of the rope from thinned binary images [61,105,275,282,284,286].”
From Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects (2023) · cites this paper as [286]
Most knot tying systems act either on the table or in the air.
“Most KT systems act either on the table [243,244,275,282,286,287] or in the air [52,91,105,239,284,285] as shown in Figure 6.”
From Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects (2023) · cites this paper as [286]
Cites
Automatic Synthesis of Fine-Motion Strategies for Robots
Lozano‐Pérez, T., Mason, M. T., & Taylor, R. H. (1984) · The International Journal of Robotics Research · doi:10.1177/027836498400300101 · Cited by 901 · see citing works
Abstraction and Specification in Program Development
Liskov, B. H., & Guttag, J. V. (1986) · CERN Document Server (European Organization for Nuclear Research) · Cited by 545 · see citing works
Robotic Grasping and Fine Manipulation
Cutkosky, M. R. (1985) · Kluwer international series in engineering and computer science · doi:10.1007/978-1-4684-6891-5 · Cited by 327 · see citing works
AUTOPASS: An Automatic Programming System for Computer Controlled Mechanical Assembly
Lieberman, L. I., & Wesley, M. A. (1977) · IBM Journal of Research and Development · doi:10.1147/rd.214.0321 · Cited by 326 · see citing works
Lozano‐Pérez, T. (1983) · Proceedings of the IEEE · doi:10.1109/proc.1983.12681 · Cited by 284 · see citing works
Symbolic Error Analysis and Robot Planning
Brooks, R. A. (1982) · The International Journal of Robotics Research · doi:10.1177/027836498200100403 · Cited by 227 · see citing works
An interpreter for a language for describing assemblies
Popplestone, R. J., Ambler, A. P., & Bellos, I. M. (1980) · Artificial Intelligence · doi:10.1016/0004-3702(80)90034-x · Cited by 206 · see citing works
Taylor, R. H., Summers, P. D., & Meyer, J. (1982) · The International Journal of Robotics Research · doi:10.1177/027836498200100302 · Cited by 149 · see citing works
Hand eye coordination in rope handling
INABA, M., & INOUE, H. (1985) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.3.538 · Cited by 95 · see citing works
WAVE A model based language for manipulator control
Paul, R. (1977) · Industrial Robot the international journal of robotics research and application · doi:10.1108/eb004473 · Cited by 90 · see citing works
ASHLEY, C. W. (1944) · Virtual Defense Library (Ministerio de Defensa) · Cited by 87 · see citing works
Hand-eye coordination in rope handling
Inoue, H. (1984) · Medical Entomology and Zoology · Cited by 77 · see citing works
A System for Programming and Controlling Sensor-Based Robot Manipulators
Geschke, C. C. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767338 · Cited by 51 · see citing works
VAL: a versatile robot programming and control system
Shimano, B. (2005) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/cmpsac.1979.762620 · Cited by 41 · see citing works
Dealing with world-model-based programs
Gini, G. C., & Gini, M. L. (1985) · ACM Transactions on Programming Languages and Systems · doi:10.1145/3318.3479 · Cited by 11 · see citing works
Augmenting the RAPT robot language
Ambler, P., Cameron, S., & Corner, D. F. (1987) · Cited by 8 · see citing works
The Art of Knotting and Splicing
Day, C. L. (1964) · Medical Entomology and Zoology · Cited by 7 · see citing works
The Art of Knotting and Splicing
Kasdin, E. (2012) · Colorado review · doi:10.1353/col.2012.0014 · Cited by 6 · see citing works
Flagged first, then by citations
1 of the 19 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Cable manipulation with a tactile-reactive gripper
She, Y., Wang, S., Dong, S., Sunil, N., Rodríguez, A., & Adelson, E. H. (2021) · The International Journal of Robotics Research · doi:10.1177/02783649211027233 · Cited by 267 · see citing works
Combining self-supervised learning and imitation for vision-based rope manipulation
Nair, A., Chen, D., Agrawal, P., Isola, P., Abbeel, P., Malik, J., & Levine, S. (2017) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2017.7989247 · Cited by 260 · see citing works
Path planning for deformable linear objects
Moll, M., & Kavraki, L. E. (2006) · IEEE Transactions on Robotics · doi:10.1109/tro.2006.878933 · Cited by 205 · see citing works
Bretl, T. W., & McCarthy, Z. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364912473169 · Cited by 185 · see citing works
Knotting/unknotting manipulation of deformable linear objects
Wakamatsu, H., Arai, E., & Hirai, S. (2006) · The International Journal of Robotics Research · doi:10.1177/0278364906064819 · Cited by 132 · see citing works
Dual-arm robotic manipulation of flexible cables
Zhu, J., Navarro, B., Fraisse, P., Crosnier, A., & Cherubini, A. (2018) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593780 · Cited by 138 · see citing works
Static Modeling of Linear Object Deformation Based on Differential Geometry
Wakamatsu, H., & Hirai, S. (2004) · The International Journal of Robotics Research · doi:10.1177/0278364904041882 · Cited by 130 · see citing works
Seita, D., Florence, P., Tompson, J., Coumans, E., Sindhwani, V., Goldberg, K., & Zeng, A. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra48506.2021.9561391 · Cited by 130 · see citing works
Survey on model-based manipulation planning of deformable objects
Jiménez, P. (2011) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.08.002 · Cited by 129 · 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
Robotic Manipulation Planning for Shaping Deformable Linear Objects WithEnvironmental Contacts
Zhu, J., Navarro, B., Passama, R., Fraisse, P., Crosnier, A., & Cherubini, A. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2944304 · Cited by 97 · see citing works
Learning Robotic Manipulation through Visual Planning and Acting
Wang, A., Kurutach, T., Liu, K., Abbeel, P., & Tamar, A. (2019) · Robotics: Science and Systems · doi:10.15607/rss.2019.xv.074 · Cited by 96 · see citing works
Representation for knot-tying tasks
Takamatsu, J., Morita, T., Ogawara, K., Kimura, H., & Ikeuchi, K. (2006) · IEEE Transactions on Robotics · doi:10.1109/tro.2005.855988 · Cited by 79 · see citing works
(2003) · doi:10.1109/robot.2003.1242193 · Cited by 73 · see citing works
Dexterous Robotic Manipulation of Deformable Objects with Multi-Sensory Feedback - a Review
Fouad, F., & Payeur, P. (2010) · InTech eBooks · doi:10.5772/9183 · Cited by 69 · see citing works
Multistage Cable Routing Through Hierarchical Imitation Learning
Luo, J., Xu, C., Geng, X., Feng, G., Fang, K., Tan, L., Schaal, S., & Levine, S. (2024) · IEEE Transactions on Robotics · doi:10.1109/tro.2024.3353075 · Cited by 66 · see citing works
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
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
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
Cable Manipulation with a Tactile-Reactive Gripper
Dong, S., Wang, S., She, Y., Sunil, N., Rodríguez, A., & Adelson, E. H. (2020) · Robotics: Science and Systems · doi:10.15607/rss.2020.xvi.029 · Cited by 39 · 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
Bell, M. (2010) · doi:10.1349/ddlp.367 · Cited by 35 · see citing works
Recursive learning for deformable object manipulation
Howard, A., & Bekey, G. A. (2002) · International Conference on Advanced Robotics (ICAR) · doi:10.1109/icar.1997.620294 · Cited by 32 · see citing works
Toward assembly sequence planning with flexible parts
Wolter, J., & Kroll, E. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1996.506920 · Cited by 28 · see citing works
Planning of one-handed knotting/raveling manipulation of linear objects
Wakamatsu, H., TSUMAYA, A., Arai, E., & Hirai, S. (2004) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2004.1308072 · Cited by 27 · see citing works
FMB: A functional manipulation benchmark for generalizable robotic learning
Luo, J., Xu, C., Liu, F., Tan, L., Lin, Z., Wu, J., Abbeel, P., & Levine, S. (2024) · The International Journal of Robotics Research · doi:10.1177/02783649241276017 · Cited by 26 · see citing works
Manipulation Planning for Knotting/Unknotting and Tightly Tying of Deformable Linear Objects
Wakamatsu, H., TSUMAYA, A., Arai, E., & Hirai, S. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2005.1570489 · Cited by 23 · see citing works
Collaborative robotics in wire harnesses spot taping process
Román-Ibáñez, V., Pujol, F. A., Ortega, S. G., & Perpiñán, J. M. S. (2021) · Computers in Industry · doi:10.1016/j.compind.2020.103370 · Cited by 22 · 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
Knot-tying with four-piece fixtures
Bell, M. P., Wang, W., Kunzika, J. S., & Balkcom, D. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364914532217 · Cited by 20 · see citing works
Kadi, H. A., & Terzić, K. (2023) · Sensors · doi:10.3390/s23052389 · Cited by 19 · see citing works
“Most KT systems act either on the table [243,244,275,282,286,287] or in the air [52,91,105,239,284,285] as shown in Figure 6.”
BackgroundMethodManipulation planning for unraveling linear objects
Wakamatsu, H., Tsumaya, A., Arai, E., & Hirai, S. (2006) · Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. · doi:10.1109/robot.2006.1642075 · Cited by 19 · see citing works
Robotic assembly of wire harnesses: Economic and technical justification
Aguirre, E., Ferrière, L., & Raucent, B. (1997) · Journal of Manufacturing Systems · doi:10.1016/s0278-6125(97)88890-5 · Cited by 18 · see citing works
Quasi-static manipulation of a planar elastic rod using multiple robotic grippers
Mukadam, M., Borum, A. D., & Bretl, T. W. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6942540 · Cited by 16 · see citing works
Experiments in quasi-static manipulation of a planar elastic rod
Matthews, D., & Bretl, T. W. (2012) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2012.6385876 · Cited by 15 · see citing works
Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects
Bahety, A., Jain, S., Ha, H., Hager, N., Burchfiel, B., Cousineau, E., Feng, S., & Song, S. (2023) · 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10341841 · Cited by 15 · see citing works
Mechanics and Quasi-Static Manipulation of Planar Elastic Kinematic Chains
Bretl, T. W., & McCarthy, Z. (2012) · IEEE Transactions on Robotics · doi:10.1109/tro.2012.2218911 · Cited by 14 · see citing works
(2016) · doi:10.1109/icra.2016.7487548 · Cited by 14 · see citing works
Equilibrium Configurations of a Kirchhoff Elastic Rod under Quasi-static Manipulation
Bretl, T. W., & McCarthy, Z. (2013) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-36279-8_5 · Cited by 13 · see citing works
Planar Robot Casting with Real2Sim2Real Self-Supervised LearningPreprint
Lim, V., Huang, H., Chen, L. Y., Wang, J., Ichnowski, J., Seita, D., Laskey, M., & Goldberg, K. Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.04814 · Cited by 13 · see citing works
A Neural Net-based Assembly Algorithm for Flexible Parts Assembly
Kim, J. Y., & Cho, H. S. (2000) · Journal of Intelligent & Robotic Systems · doi:10.1023/a:1008115522778 · Cited by 11 · see citing works
ShakingBot: dynamic manipulation for bagging
Gu, N., Zhang, Z., He, R., & Yu, L. (2024) · Robotica · doi:10.1017/s0263574723001753 · 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
Virtual Commissioning Simulation as Reinforcement Learning Environment for Robot Cable Handling
Jaensch, F., & Verl, A. W. (2020) · International Conference on Artificial Intelligence for Industries (AI4I) · doi:10.1109/ai4i49448.2020.00013 · Cited by 10 · see citing works
Representation of Knot Tying Tasks for Robot Execution
Takamatsu, J., Morita, T., Ogawara, K., Kimura, H., & Ikeuchi, K. (2005) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.23.572 · Cited by 9 · see citing works
Alignment of a flexible sheet object with position-based and image-based visual servoing
Kagami, S., Omi, K., & Hashimoto, K. (2016) · Advanced Robotics · doi:10.1080/01691864.2016.1183518 · Cited by 9 · see citing works
Learning From Observation of Tabletop Knotting Using a Simple Task Model
Takizawa, M., Yao, Z., Onda, H., Kudoh, S., & Suehiro, T. (2019) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2019.8700429 · Cited by 9 · see citing works
Deformable Object Manipulation.
Hirai, S. (1998) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.16.136 · Cited by 9 · see citing works
Mechanics and manipulation of planar elastic kinematic chains
McCarthy, Z., & Bretl, T. W. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6224693 · Cited by 8 · see citing works
Skill-based vibration suppression in manipulation of deformable linear objects
Ding, F., Huang, J., Matsuno, T., & Fukuda, T. (2011) · International Symposium on Micro-NanoMechatronics and Human Science · doi:10.1109/mhs.2011.6102220 · Cited by 8 · 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
Liu, J. (1996) · The International Journal of Robotics Research · doi:10.1177/027836499601500205 · Cited by 7 · 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
Performing Efficient and Safe Deformable Package Transport Operations Using Suction Cups
Shukla, R., Yu, Z., Moode, S., Manyar, O. M., Wang, F., Mayya, S., & Gupta, S. K. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802323 · Cited by 5 · see citing works
Zanella, R., & Palli, G. (2021) · IEEE Access · doi:10.1109/access.2021.3118209 · Cited by 5 · see citing works
Wang, W., & Balkcom, D. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487549 · Cited by 5 · see citing works
Knotting/raveling manipulation of linear objects
Wakamatsu, H., TSUMAYA, A., SHIRASE, K., Arai, E., & Hirai, S. (2004) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2003.1249642 · Cited by 5 · see citing works
Linear Object Manipulation Including Knotting/Unknotting
Wakamatsu, H., TSUMAYA, A., Arai, E., & Hirai, S. (2005) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.23.344 · Cited by 5 · see citing works
Wakamatsu, H., TSUMAYA, A., Arai, E., & Hirai, S. (2006) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.24.523 · Cited by 4 · see citing works
Onda, H., Kudoh, S., & Suehiro, T. (2016) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2016.2518741 · Cited by 3 · see citing works
Development of a Tying Tool to Bind a Wire Harness
Muneta, A., Wakamatsu, H., Morinaga, E., & Arai, E. (2019) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.37.73 · Cited by 3 · see citing works
Planning for Unraveling Deformable Linear Objects Based on Their Silhouette
Wakamatsu, H., Arai, E., & Hirai, S. (2008) · InTech eBooks · doi:10.5772/5994 · Cited by 3 · see citing works
Knotting task execution based a hand-rope relation
Vinh, T. V., Tomizawa, T., Kudoh, S., & Suehiro, T. (2017) · Advanced Robotics · doi:10.1080/01691864.2017.1289119 · Cited by 3 · see citing works
Dynamic Insertion of Bendable Flat Cables with Variation Based on Shape Returning Points
Kataoka, Y., & Hirai, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25486-4_50 · Cited by 3 · see citing works
Kaijanaho, A.-J. (2014) · Jyväskylä University Digital Archive (University of Jyväskylä) · Cited by 3 · see citing works
Simulation of Dynamic Deformation of a Belt-Shaped Object toward Design of its Tying Tool
Momosaki, T., Wakamatsu, H., & Iwata, Y. (2023) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii55687.2023.10039206 · Cited by 2 · see citing works
Data-Driven FEM Modeling of Elastic Cables for Robotic Manipulation Tasks
di Maria, E., & Yasukawa, S. (2023) · International Conference on Computer and Automation Engineering · doi:10.1109/iccae56788.2023.10111155 · Cited by 2 · see citing works
Kinematic hand synergies differ between reach-and-grasp and functional object manipulation
West, A. M., & Hogan, N. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00101.2024 · Cited by 5 · see citing works
Robot assembly planning using a task grammar augmented with heuristic knowledge
Liu, J. (1996) · Journal of Intelligent Manufacturing · doi:10.1007/bf00118080 · 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
Grasp Taxonomy and Grasp Synthesis of Continuum Robots
Mehrkish, A. (2024) · doi:10.32920/25417264 · Cited by 2 · see citing works
Robot Trajectory Optimization for Safe Transport of Deformable Packages
Shukla, R., Moode, S., Wang, F., Mayya, S., & Gupta, S. K. (2025) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case58245.2025.11164007 · Cited by 1 · see citing works
A vision-based framework for the discovery-driven manipulation of non-rigid objects
Smith, P. W., Nandhakumar, N., & Ramadorai, A. K. (1996) · Advanced Robotics · doi:10.1163/156855397x00056 · 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
Kadi, H. A., & Terzić, K. (2022) · Preprints.org · doi:10.20944/preprints202212.0305.v1 · Cited by 1 · see citing works
Robotic Manipulation of Deformable Objects Using DP-Resnet-Transporter NetworksPreprint
Gao, H. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4517683 · Cited by 1 · see citing works
PLANNING OF KNOTTING MANIPULATION
Wakamatsu, H., Kato, T., TSUMAYA, A., Arai, E., & Hirai, S. (2007) · Elsevier eBooks · doi:10.1016/b978-008044963-0/50019-9
Unraveling of Deformable Linear Objects Based on 2D Information about Their Crossing States
Wakamatsu, H., TSUMAYA, A., Arai, E., & Hirai, S. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281796
Sufficient Conditions for a Path-Connected Set of Local Solutions to an Optimal Control Problem
Borum, A. D., & Bretl, T. W. (2016) · SIAM Journal on Applied Mathematics · doi:10.1137/15m1025608
Constructive solid geometry with projection
Tongsiri, N. (2001) · OpenGrey (Institut de l'Information Scientifique et Technique)
Unknotting of Deformable Linear Objects using 2D Visual InformationPreprint
Karen, A. (2023) · doi:10.31219/osf.io/utgr2
- Authors
- Hopcroft, J. E., Kearney, J. K., & Krafft, D. B.
- Affiliations
- Cornell University (US)
- University of Iowa (US)
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 1991-02
- Volume
- 10
- Issue
- 1
- Pages
- 41-50
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2099760513
- Cited by
- 82
- References
- 19
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 9 · 2022: 2 · 2021: 6 · 2020: 6 · 2019: 5 · 2018: 2 · 2017: 2 · 2016: 5 · 2014: 3 · 2013: 2 · 2012: 4
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The International Journal of Robotics Research (publishedVersion)
- Funders
- National Science Foundation
- Office of Naval Research
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
- Keywords
- flexible object manipulation, robotic arm control
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