Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding

Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893

A Combined Corner and Edge Detector

Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901

Robotic grasping and contact: a review

Bicchi, A., & Kumar, V. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2000.844081 · Cited by 1,135

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

Robot Grasp Synthesis Algorithms: A Survey

Shimoga, K. B. (1996) · The International Journal of Robotics Research · doi:10.1177/027836499601500302 · Cited by 667

Challenges for robot manipulation in human environments [Grand Challenges of Robotics]

Kemp, C. C., Edsinger, A., & Torres-Jara, E. (2007) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2007.339604 · Cited by 378

Anisotropic Huber-L1 Optical Flow

Werlberger, M., Trobin, W., Pock, T., Wedel, A., Cremers, D., & Bischof, H. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.108 · Cited by 354

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

Towards a personal robotics development platform: Rationale and design of an intrinsically safe personal robot

Wyrobek, K. A., Berger, E., der Loos, H. F. M. V., & Salisbury, J. K. (2008) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2008.4543527 · Cited by 191

Planning Paths for Elastic Objects under Manipulation Constraints

Lamiraux, F., & Kavraki, L. E. (2001) · The International Journal of Robotics Research · doi:10.1177/02783640122067354 · Cited by 161

Deep learning for detecting robotic grasps

Lenz, I., Lee, H., & Saxena, A. (2015) · The International Journal of Robotics Research · doi:10.1177/0278364914549607 · Cited by 1,683

Data-Driven Grasp Synthesis—A Survey

Bohg, J., Morales, A., Asfour, T., & Kragic, D. (2014) · IEEE Transactions on Robotics · doi:10.1109/tro.2013.2289018 · Cited by 929

Dual arm manipulation—A survey

Smith, C., Karayiannidis, Y., Nalpantidis, L., Gratal, X., Qi, P., Dimarogonas, D. V., & Kragić, D. (2012) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2012.07.005 · Cited by 562

Robotic grasp detection using deep convolutional neural networks

Kumra, S., & Kanan, C. (2017) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2017.8202237 · Cited by 566

1Data-Driven Grasp Synthesis- A SurveyPreprint

Bohg, J., Morales, A., Asfour, T., & Kragić, D. (2014) · Cited by 532

Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network

Kumra, S., Joshi, S., & Sahin, F. (2020) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros45743.2020.9340777 · Cited by 465

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

Revisiting active perception

Bajcsy, R. K., Aloimonos, Y., & Tsotsos, J. K. (2017) · Autonomous Robots · doi:10.1007/s10514-017-9615-3 · Cited by 338

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

Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input

Kormushev, P. S., Calinon, S., & Caldwell, D. G. (2011) · Advanced Robotics · doi:10.1163/016918611x558261 · Cited by 277

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

Sim-to-real reinforcement learning for deformable object manipulation

Matas, J., James, S., & Davison, A. J. (2018) · arXiv · doi:10.48550/arxiv.1806.07851 · Cited by 241

A geometric approach to robotic laundry folding

Miller, S., van den Berg, J., Fritz, M., Darrell, T., Goldberg, K., & Abbeel, P. (2011) · The International Journal of Robotics Research · doi:10.1177/0278364911430417 · Cited by 238

Embodiment in Socially Interactive Robots

Deng, E., Mutlu, B., & Matarić, M. J. (2019) · Foundations and Trends in Robotics · doi:10.1561/2300000056 · Cited by 261

Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning

Deisenroth, M. P., Rasmussen, C. E., & Fox, D. (2011) · Robotics: Science and Systems · doi:10.15607/rss.2011.vii.008 · Cited by 208

KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation

Manuelli, L., Gao, W., Florence, P., & Tedrake, R. (2022) · Springer proceedings in advanced robotics · doi:10.1007/978-3-030-95459-8_9 · Cited by 198

Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0

Dhanda, M., Rogers, B. A., Hall, S., Dekoninck, E. A., & Dhokia, V. G. (2024) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2024.102937 · Cited by 221

Toward Robotic Manipulation

Mason, M. T. (2018) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-060117-104848 · Cited by 183

Learning to Manipulate Deformable Objects without Demonstrations

Wu, Y., Yan, W., Kurutach, T., Pinto, L., & Abbeel, P. (2020) · Robotics: Science and Systems · doi:10.15607/rss.2020.xvi.065 · Cited by 181

Rapyuta: The RoboEarth Cloud Engine

Hunziker, D., Mohanarajah, G., Waibel, M., & Raffaello D’andrea, B. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630612 · Cited by 165

Asking for Help Using Inverse Semantics

Tellex, S., Knepper, R. A., Li, A., Rus, D., & Roy, N. (2014) · Robotics: Science and Systems Conference · doi:10.15607/rss.2014.x.024 · Cited by 230

Bringing clothing into desired configurations with limited perception

Cusumano-Towner, M., Singh, A., Miller, S., O’Brien, J. F., & Abbeel, P. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980327 · Cited by 144

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Lin, X., Wang, Y., Olkin, J., & Held, D. (2020) · arXiv · doi:10.48550/arxiv.2011.07215 · Cited by 140

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 139

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks

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

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

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

Mobile Manipulation in Unstructured Environments: Perception, Planning, and Execution

Chitta, S., Jones, E., Ciocarlie, M., & Hsiao, K. (2012) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2012.2191995 · Cited by 126

RoboBrain: Large-Scale Knowledge Engine for RobotsPreprint

Saxena, A., Jain, A., Şener, O., Jami, A., Misra, D. K., & Koppula, H. S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1412.0691 · Cited by 138

Autonomous active recognition and unfolding of clothes using random decision forests and probabilistic planning

Doumanoglou, A., Kargakos, A., Kim, T.-K., & Malassiotis, S. (2014) · 2014 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2014.6906974 · Cited by 123

Folding clothes autonomously: A complete pipeline

Doumanoglou, A., Stria, J., Peleka, G., Mariolis, I., Petrik, V., Kargakos, A., Wagner, L., Hlavac, V., Kim, T.-K., & Malassiotis, S. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2602376 · Cited by 122

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation

Yan, W., Vangipuram, A., Abbeel, P., & Pinto, L. (2020) · arXiv · doi:10.48550/arxiv.2003.05436 · Cited by 122

Using depth and appearance features for informed robot grasping of highly wrinkled clothes

Arnau Ramisa, A., Alenyà, G., Moreno-Noguer, F., & Carme Torras, A. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6225045 · Cited by 122

Dynamic Cloth Manipulation with Deep Reinforcement Learning

Jangir, R., Alenya, G., & Torras, C. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra40945.2020.9196659 · Cited by 114

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

Seita, D., Ganapathi, A., Hoque, R., Hwang, M., Cen, E., Tanwani, A. K., Balakrishna, A., Thananjeyan, B., Ichnowski, J., Jamali, N., et al. (2020) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros45743.2020.9341608 · Cited by 113

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

A Grasping-Centered Analysis for Cloth Manipulation

Borràs, J., Alenyà, G., & Carme Torras, A. (2020) · IEEE Transactions on Robotics · doi:10.1109/tro.2020.2986921 · Cited by 106

Reinforcement learning of clothing assistance with a dual-arm robot

Tamei, T., Matsubara, T., Rai, A., & Shibata, T. (2011) · 2011 11th IEEE-RAS International Conference on Humanoid Robots · doi:10.1109/humanoids.2011.6100915 · Cited by 103

Folding deformable objects using predictive simulation and trajectory optimization

Li, Y., Yue, Y., Xu, D., Grinspun, E., & Allen, P. K. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7354231 · Cited by 103

Learning spatial relationships between objects

Rosman, B., & Ramamoorthy, S. (2011) · The International Journal of Robotics Research · doi:10.1177/0278364911408155 · Cited by 103

Learning-based object detection and localization for a mobile robot manipulator in SME production

Zhou, Z., Li, L., Fürsterling, A., Durocher, H., Mouridsen, J., & Zhang, X. (2021) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2021.102229 · Cited by 101

Bimanual robotic cloth manipulation for laundry folding

Bersch, C., Pitzer, B., & Kammel, S. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6095109 · Cited by 101

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

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

The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environments

Kemp, C. C., Edsinger, A., Clever, H., & Matulevich, B. (2022) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra46639.2022.9811922 · Cited by 96

SpeedFolding: Learning Efficient Bimanual Folding of Garments

Avigal, Y., Berscheid, L., Asfour, T., Kröger, T., & Goldberg, K. (2022) · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9981402 · Cited by 95

Accurate garment surface analysis using an active stereo robot head with application to dual-arm flattening

Sun, L., Aragón-Camarasa, G., Rogers, S., & Siebert, J. P. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7138998 · Cited by 94

FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding

Ha, H., & Song, S. (2021) · arXiv · doi:10.48550/arxiv.2105.03655 · Cited by 93

Parametrized shape models for clothing

Miller, S. D., Fritz, M., Darrell, T., & Abbeel, P. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980453 · Cited by 92

Active garment recognition and target grasping point detection using deep learning

Corona, E., Alenyà, G., Gabas, A., & Carme Torras, A. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.09.042 · Cited by 90

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

Seita, D., Jamali, N., Laskey, M., Tanwani, A. K., Berenstein, R., Baskaran, P., Iba, S., Canny, J., & Goldberg, K. Y. (2022) · Springer proceedings in advanced robotics · doi:10.1007/978-3-030-95459-8_17 · Cited by 88

Classification of clothing using interactive perception

Willimon, B., Birchfield, S. T., & Walker, I. D. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980336 · Cited by 87

KETO: Learning Keypoint Representations for Tool Manipulation

Qin, Z., Fang, K., Zhu, Y., Fei-Fei, L., & Savarese, S. (2020) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra40945.2020.9196971 · Cited by 82

Collaborative human-robot manipulation of highly deformable materials

Kruse, D., Radke, R. J., & Wen, J. T.-Y. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139725 · Cited by 80

Learning haptic representation for manipulating deformable food objects

Gemici, M., & Saxena, A. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6942626 · Cited by 80

Benchmarking Bimanual Cloth Manipulation

Garcia-Camacho, I., Lippi, M., Welle, M. C., Yin, H., Antonova, R., Varava, A., Borràs, J., Carme Torras, A., Marino, A., Alenyà, G., et al. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2965891 · Cited by 77

Recovering from failure by asking for help

Knepper, R. A., Tellex, S., Li, A., Roy, N., & Rus, D. (2015) · Autonomous Robots · doi:10.1007/s10514-015-9460-1 · Cited by 76

Multi-Modal Sensing and Robotic Manipulation of Non-Rigid Objects: A Survey

Nadon, F., Valencia, A. J., & Payeur, P. (2018) · Robotics · doi:10.3390/robotics7040074 · Cited by 76

Roombots extended: Challenges in the next generation of self-reconfigurable modular robots and their application in adaptive and assistive furniture

Hauser, S., Mutlu, M., Léziart, P., Khodr, H., Bernardino, A. J. M., & Ijspeert, A. J. (2020) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2020.103467 · Cited by 75

Gravity-Based Robotic Cloth Folding

van den Berg, J., Miller, S., Goldberg, K., & Abbeel, P. (2010) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-17452-0_24 · Cited by 75

Garment perception and its folding using a dual-arm robot

Stria, J., Průša, D., Hlaváč, V., Wagner, L., Petrík, V., Kršek, P., & Smutný, V. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6942541 · Cited by 75

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation

Hoque, R., Seita, D., Balakrishna, A., Ganapathi, A., Tanwani, A., Jamali, N., Yamane, K., Iba, S., & Goldberg, K. (2020) · Robotics: Science and Systems XVI · doi:10.15607/rss.2020.xvi.034 · Cited by 74

Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review

Tian, H., Song, K., Li, S., Ma, S., Xu, J. L., & Yan, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118624 · Cited by 75

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics

Ganapathi, A., Sundaresan, P., Thananjeyan, B., Balakrishna, A., Seita, D., Grannen, J., Hwang, M., Hoque, R., Gonzalez, J. E., Jamali, N., et al. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561980 · Cited by 69

A systematic review on cooperative dual-arm manipulators: modeling, planning, control, and vision strategies

Abbas, M., Narayan, J., & Dwivedy, S. K. (2023) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-023-00292-0 · Cited by 68

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 93

Real-time pose estimation of deformable objects using a volumetric approach

Li, Y., Wang, Y., Case, M., Chang, S., & Allen, P. K. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6942687 · Cited by 66

Personalized collaborative plans for robot-assisted dressing via optimization and simulation

Kapusta, A. S., Erickson, Z., Clever, H., Yu, W., Liu, C. K., Turk, G., & Kemp, C. C. (2019) · Autonomous Robots · doi:10.1007/s10514-019-09865-0 · Cited by 63

GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping

Kumra, S., Joshi, S., & Sahin, F. (2022) · Sensors · doi:10.3390/s22166208 · Cited by 62

Regrasping and unfolding of garments using predictive thin shell modeling

Li, Y., Xu, D., Yue, Y., Wang, Y., Chang, S., Grinspun, E., & Allen, P. K. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139370 · Cited by 62

Learning Visible Connectivity Dynamics for Cloth Smoothing

Lin, X., Wang, Y., Huang, Z., & Held, D. (2021) · arXiv · doi:10.48550/arxiv.2105.10389 · Cited by 62

EMD Net: An Encode–Manipulate–Decode Network for Cloth Manipulation

Tanaka, D., Arnold, S., & Yamazaki, K. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2800122 · Cited by 60

Robotic Grasping of Unknown Objects Using Novel Multilevel Convolutional Neural Networks: From Parallel Gripper to Dexterous Hand

Yu, Q., Shang, W., Zhao, Z., Cong, S., & Li, Z. (2020) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2020.3017022 · Cited by 62

Model for unfolding laundry using interactive perception

Willimon, B., Birchfield, S. T., & Walker, I. D. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6095066 · Cited by 60

Combining imitation and reinforcement learning to fold deformable planar objects

Balaguer, B., & Carpin, S. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094992 · Cited by 59

Automated planning for robotic layup of composite prepreg

Malhan, R. K., Shembekar, A. V., Kabir, A. M., Bhatt, P. M., Shah, B. C., Zanio, S., Nutt, S., & Gupta, S. K. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.102020 · Cited by 58

Artificial Intelligence

Forrest, E., & Hoanca, B. (2015) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-4666-8459-1.ch003 · Cited by 57

Motion planning for dynamic folding of a cloth with two high-speed robot hands and two high-speed sliders

Yamakawa, Y., Namiki, A., & Ishikawa, M. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5979606 · Cited by 55

DefGraspSim: Physics-Based Simulation of Grasp Outcomes for 3D Deformable Objects

Huang, I., Narang, Y., Eppner, C., Sundaralingam, B., Macklin, M., Bajcsy, R. K., Hermans, T., & Fox, D. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3158725 · Cited by 60

Learning the spatial semantics of manipulation actions through preposition grounding

Zampogiannis, K., Yang, Y., Fermuller, C. M., & Aloimonos, Y. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139371 · Cited by 51

Personalized Assistance for Dressing Users

Klee, S. D., Ferreira, B. Q., Silva, R., Costeira, J. P., Melo, F. S., & Veloso, M. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25554-5_36 · Cited by 51

Folding paper with anthropomorphic robot hands using real-time physics-based modeling

Elbrechter, C., Haschke, R., & Ritter, H. J. (2012) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/humanoids.2012.6651522 · Cited by 50

Learning RGB-D descriptors of garment parts for informed robot grasping

Arnau Ramisa, A., Alenyà, G., Moreno-Noguer, F., & Carme Torras, A. (2014) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2014.06.025 · Cited by 50

FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy

Weng, T., Bajracharya, S., Wang, Y., Agrawal, K., & Held, D. (2021) · arXiv · doi:10.48550/arxiv.2111.05623 · Cited by 48

Cognition-Enabled Robot Manipulation in Human Environments: Requirements, Recent Work, and Open Problems

Ersen, M., Öztop, E., & Sarıel, S. (2017) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2016.2616538 · Cited by 47

Cloth Region Segmentation for Robust Grasp Selection

Qian, J., Weng, T., Zhang, L., Okorn, B., & Held, D. (2020) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros45743.2020.9341121 · Cited by 47

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

Visuospatial foresight for physical sequential fabric manipulation

Hoque, R., Seita, D., Balakrishna, A., Ganapathi, A., Tanwani, A. K., Jamali, N., Yamane, K., Iba, S., & Goldberg, K. (2022) · Autonomous Robots · doi:10.1007/s10514-021-10001-0 · Cited by 45

On the Development of a Specialized Flexible Gripper for Garment Handling

Le, T.-H.-L., Jilich, M., Landini, A., Zoppi, M., Zlatanov, D., & Molfino, R. (2013) · Journal of Automation and Control Engineering · doi:10.12720/joace.1.3.255-259 · Cited by 45

Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: An overview

Jiménez, P. (2017) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2017.03.009 · Cited by 45

Model-Driven Feedforward Prediction for Manipulation of Deformable Objects

Li, Y., Wang, Y., Yue, Y., Xu, D., Case, M., Chang, S.-F., Grinspun, E., & Allen, P. K. (2018) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2017.2766228 · Cited by 45

Improved APF strategies for dual-arm local motion planning

Byrne, S., Naeem, W., & Ferguson, S. (2014) · Transactions of the Institute of Measurement and Control · doi:10.1177/0142331214532002 · Cited by 44

A Heuristic-Based Approach for Flattening Wrinkled Clothes

Sun, L., Aragon-Camarasa, G., Cockshott, P., Rogers, S., & Siebert, J. P. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-43645-5_16 · Cited by 43

Efficient motion planning for manipulation robots in environments with deformable objects

Frank, B., Stachniss, C., Abdo, N., & Burgard, W. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094946 · Cited by 43

Using Bayesian Filtering to Localize Flexible Materials During Manipulation

Platt, R., Permenter, F., & Pfeiffer, J. J. (2011) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2139150 · Cited by 43

Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling

Sánchez-Matilla, R., Chatzilygeroudis, K. I., Modas, A., Duarte, N. F., Xompero, A., Frossard, P., Billard, A., & Cavallaro, A. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2969200 · Cited by 46

Bottom dressing by a life-sized humanoid robot provided failure detection and recovery functions

Yamazaki, K., Oya, R., Nagahama, K., Okada, K., & Inaba, M. (2014) · 2014 IEEE/SICE International Symposium on System Integration · doi:10.1109/sii.2014.7028101 · Cited by 42

A Versatile Gripper for Cloth Manipulation

Donaire, S., Borràs, J., Alenyà, G., & Carme Torras, A. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.3015172 · Cited by 42

Search-based planning for dual-arm manipulation with upright orientation constraints

Cohen, B. J., Chitta, S., & Likhachev, M. A. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6225008 · Cited by 42

Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates

Matsubara, T., Shinohara, D., & Kidode, M. (2013) · Advanced Robotics · doi:10.1080/01691864.2013.777012 · Cited by 41

Flattening and folding of crumpled clothes using robotic arms and stereovision

Aditya, S. (2022) · DR-NTU (Nanyang Technological University)

A study of towel folding by a robot arm - Spreading and vertex detection using image processing

Oshima, T., Yoshimi, T., Mizukawa, M., & Yoshinobu, A. N. D. O. (2014) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.1109/iccas.2014.6987856 · Cited by 4

Flattening and folding of crumpled clothes using robotic arms and stereovision (2)

Kalpesh, S. J. (2022) · DR-NTU (Nanyang Technological University)

A Study of Towel Folding by a Robot Arm

Oshima, T., Yoshimi, T., Mizukawa, M., & Yoshinobu, A. N. D. O. (2014) · 제어로봇시스템학회 국제학술대회 논문집

Using depth and appearance features for informed robot grasping of highly wrinkled clothes

Arnau Ramisa, A., Alenyà, G., Moreno-Noguer, F., & Carme Torras, A. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6225045 · Cited by 122