The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey
Open accessAbstract
We present a survey of recent work on robot manipulation and sensing of deformable objects, a field with relevant applications in diverse industries such as medicine (e.g. surgical assistance), food handling, manufacturing, and domestic chores (e.g. folding clothes). We classify the reviewed approaches into four categories based on the type of object they manipulate. Furthermore, within this object classification, we divide the approaches based on the particular task they perform on the deformable object. Finally, we conclude this survey with a discussion of the current state-of-the-art approaches and propose future directions within the proposed classification.
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Cites
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
Soft robotics: a bioinspired evolution in robotics
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Learning force-based manipulation of deformable objects from multiple demonstrations
Lee, A. X., Lu, H., Gupta, A., Levine, S., & Abbeel, P. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2015.7138997 · Cited by 140
Reinforcement learning of clothing assistance with a dual-arm robot
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Tangled: Learning to untangle ropes with RGB-D perception
Lui, W. H., & Saxena, A. (2013) · 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2013.6696448 · Cited by 71
Motion planning for dynamic knotting of a flexible rope with a high-speed robot arm
Yamakawa, Y., Namiki, A., & Ishikawa, M. (2010) · 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2010.5651168 · Cited by 57
Bottom dressing by a life-sized humanoid robot provided failure detection and recovery functions
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Knotting manipulation of a flexible rope by a multifingered hand system based on skill synthesis
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Cited by
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
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Zhu, J., Cherubini, A., Dune, C., Navarro-Alarcon, D., Alambeigi, F., Berenson, D., Ficuciello, F., Harada, K., Kober, J., Li, X., et al. (2022) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2022.3147415 · Cited by 265
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
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
Modeling of deformable objects for robotic manipulation: A tutorial and review
Arriola-Rios, V. E., Guler, P., Ficuciello, F., Kragic, D., Siciliano, B., & Wyatt, J. L. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00082 · Cited by 126
Metadata
- Authors
- Sanchez, J., Corrales, J.-A., Bouzgarrou, B.-C., & Mezouar, Y.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2018-06
- Volume
- 37
- Issue
- 7
- Pages
- 688-716
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2808405904
- Cited by
- 457
- References
- 10
- FWCI
- 23.43
- Type
- journal article
- Language
- en
- Open access
- green
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