The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
Robotic tactile perception of object properties: A review
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723
Shape matching and object recognition using shape contexts
Belongie, S., Malik, J., & Puzicha, J. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.993558 · Cited by 6,306
MonoSLAM: Real-time single camera SLAM
Davison, A. J., Reid, I. D., Molton, N. D., & Stasse, O. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1049 · Cited by 3,959
Corke, P., Roberts, J., Cunningham, J., & Hainsworth, D. (2008) · Springer Handbook of Robotics · doi:10.1007/978-3-540-30301-5_50 · Cited by 3,543
An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485
Pictorial Structures for Object Recognition
Felzenszwalb, P. F., & Huttenlocher, D. P. (2005) · International Journal of Computer Vision · doi:10.1023/b:visi.0000042934.15159.49 · Cited by 2,180
Cited by
Large-Area Soft e-Skin: The Challenges Beyond Sensor Designs
Dahiya, R., Yogeswaran, N., Liu, F., Manjakkal, L., Burdet, E., Hayward, V., & Jörntell, H. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2941366 · Cited by 309
Self-citationHaptic Codecs for the Tactile Internet
Steinbach, E., Strese, M., Eid, M., Liu, X., Bhardwaj, A., Liu, Q., Al-Ja'Afreh, M., Mahmoodi, T., Hassen, R., El Saddik, A., et al. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2867835 · Cited by 166
Using 3D Convolutional Neural Networks for Tactile Object Recognition with Robotic Palpation
Pastor, F., Gandarias, J. M., García-Cerezo, A. J., & Gómez-de-Gabriel, J. M. (2019) · Sensors · doi:10.3390/s19245356 · Cited by 49
Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Niemann, C., Leins, D., Lach, L., & Haschke, R. (2024) · 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801966 · Cited by 1
“Active object exploration based on tactile feedback has become a popular area of research in robotics [1].”
Metadata
- Authors
- Luo, S., Bimbo, J., Dahiya, R., & Liu, H.
- Venue
- Mechatronics
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 48
- Pages
- 54-67
- ISSN
- 0957-4158 (ISSN-L)
- OpenAlex
- W2963263790
- Cited by
- 425
- References
- 159
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Luo, S., Bimbo, J., Dahiya, R., & Liu, H. (2017). Robotic tactile perception of object properties: A review. Mechatronics. https://doi.org/10.1016/j.mechatronics.2017.11.002
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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.
