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Robotic grasping and contact: a review
Abstract
In this paper, we survey the field of robotic grasping and the work that has been done in this area over the last two decades, with a slight bias toward the development of the theoretical framework and analytical results in this area.
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Citations
Cited by
Real-time grasp detection using convolutional neural networks
Redmon, J., & Angelova, A. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2015.7139361 · Cited by 893
Unity: A General Platform for Intelligent Agents
Juliani, A., Berges, V.-P., Teng, E., Cohen, A., Harper, J., Elion, C., Goy, C., Gao, Y., Henry, H., Mattar, M., et al. (2018) · arXiv · doi:10.48550/arxiv.1809.02627 · Cited by 626
“Many of the applied tasks researchers are interested in solving with AI involve not only rich sensory information, but a rich control scheme in which agents can interact with their dynamic environments in complex ways (Bicchi and Kumar, 2000; Levine et al., 2016).”
BackgroundLearning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning
Zeng, A., Song, S., Welker, S., Lee, J., Rodriguez, A., & Funkhouser, T. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593986 · Cited by 606
A compliant, underactuated hand for robust manipulation
Odhner, L. U., Jentoft, L. P., Claffee, M. R., Corson, N., Tenzer, Y., Ma, R. R., Buehler, M., Kohout, R., Howe, R. D., & Dollar, A. M. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364913514466 · Cited by 598
Zhang, B., Xie, Y., Zhou, J., Wang, K., & Zhang, Z. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105694 · Cited by 484
Metadata
- Authors
- Bicchi, A., & Kumar, V.
- Venue
- Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)
- Publisher
- IEEE
- Published
- 2002-11-07
- Volume
- 1
- Pages
- 348-353
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1820657498
- Cited by
- 1,069
- References
- 0
- FWCI
- 31.78
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Robotic grasping and contact: a review. https://app.cochat.ai/papers/10.1109/robot.2000.844081
- The paper
- Bicchi, A., & Kumar, V. (2002). Robotic grasping and contact: a review. Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065). https://doi.org/10.1109/robot.2000.844081
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
