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Implementation of Tactile Sensing for Palpation in Robot-Assisted Minimally Invasive Surgery: A Review
Open accessAbstract
Robot-assisted minimally invasive surgery (RMIS) made it possible to perform a number of medical manipulations with reduced patient trauma and better accuracy. Various devices, including tactile sensors, have been developed in recent years to enhance the quality of this procedure. The objective of this paper is to review the latest advancements and challenges in the development of tactile sensing devices designed for surgical applications. In particular, the focus is on palpation and probing devices that can be potentially used in RMIS. In addition, we explore the aspects that should be taken into account when designing tactile sensors for RMIS, incorporating biological inspiration of tactile sensing, features of manual palpation, requirements of RMIS. We provide an overview of recommendations for the development of tactile sensing devices, especially in the context of RMIS.
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WARWICK, R., Williams, P. L., Dyson, M., & Bannister, L. (1985) · British Journal of Radiology · doi:10.1259/0007-1285-58-694-1029 · Cited by 4,532
Tactile Sensing—From Humans to Humanoids
Dahiya, R., Giorgio Metta, B., Valle, M., & Sandini, G. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2033627 · Cited by 1,890
Gray’s Anatomy: the anatomical basis of clinical practice
Horan, F. (2009) · Journal of Bone and Joint Surgery - British Volume · doi:10.1302/0301-620x.91b7.22719 · Cited by 1,766
The roles and functions of cutaneous mechanoreceptors.
Johnson, K. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00234-8 · Cited by 1,063
(1984) · PubMed · Cited by 908
Microelectromechanical systems (MEMS): fabrication, design and applications
Judy, J. W. (2001) · Smart Materials and Structures · doi:10.1088/0964-1726/10/6/301 · Cited by 831
Tactile sensing for dexterous in-hand manipulation in robotics—A review
Yousef, H., Boukallel, M., & Althoefer, K. A. (2011) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2011.02.038 · Cited by 786
Kim, D., Lu, N., Ghaffari, R., Kim, Y., Lee, S. P., Xu, L., Wu, J. C., Kim, R.-H., Song, J., Liu, Z., et al. (2011) · Nature Materials · doi:10.1038/nmat2971 · Cited by 766
Review Article Tactile sensing for mechatronics—a state of the art survey
Lee, M. H., & Nicholls, H. R. (1999) · Mechatronics · doi:10.1016/s0957-4158(98)00045-2 · Cited by 711
Tactile sensory coding in the glabrous skin of the human hand
Johansson, R. S., & Vallbo, Å. B. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90011-5 · Cited by 680
Flagged first, then by citations
2 of the 107 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- cain, 2000, Bio Discovery, 1
- sargeant, 2012, An MRI compatible optical multi-axis force/torque sensors robotic surgery, Proc Hamlyn Simposium
- araghi, 2009, A feedback based dynamic instrument for measuring mechanical properties of soft tissues for minimally-invasive surgery, Proc Smart Mater Struct, 59
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Yun, Y., Wang, Y., Guo, H., Wang, Y., Wu, H., Chen, B., & Ju, F. (2019) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1177/0954411919856519 · Cited by 7
Sun, J., Xi, R., Jiang, Z., Xia, G., Dai, Y., & Zhang, J. (2024) · Measurement · doi:10.1016/j.measurement.2024.115448 · Cited by 7
Highly sensitive flexible modulus sensor for softness perception and clinical application
Zou, Q., Yang, F., & Wang, Y. (2022) · Journal of Micromechanics and Microengineering · doi:10.1088/1361-6439/ac49a2 · Cited by 7
Yang, Y., Guo, S., & Hao, Z. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2549501 · Cited by 7
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Lema, M. A., Laya, A., Mahmoodi, T., Cuevas, M., Sachs, J., Markendahl, J. I., & Döhler, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.09434 · Cited by 6
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Gupta, A. K., Gupta, R., & Kumar, P. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-84397-6_9 · Cited by 5
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An Inductive Multimodal Tactile Sensor With a Warm Touch for Human-Like Perception
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Haptic Perception via the Dynamics of a Flexible Body Inspired by an Ostrich's Neck
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A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues
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Urrutia, R., Espejo, D., Guerra, M., Vío, K., Sühn, T., Esmaeili, N., Boese, A., Fuentealba, P., Manríquez, A. I., Hansen, C., et al. (2025) · IEEE Access · doi:10.1109/access.2025.3566280 · Cited by 2
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Li, W., Konstantinova, J., Alomainy, A., & Althoefer, K. A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-25332-5_8 · Cited by 2
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Rashvand, H. F., & Hsiao, K.-F. (2015) · CRC Press eBooks · doi:10.1201/b19210-3 · Cited by 2
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Zhao, Y., Chen, H., Liu, C., Han, B., Sheng, X., & Zhu, X. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3218852 · Cited by 2
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Vera, D. T., Lum, I., & Ohta, A. T. (2017) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber.2017.8446087 · Cited by 2
McDonald, M. W., Durcan, C. B., Saleh, M. A., Reuben, R. L., Hand, D. P., Chen, Y., & MacPherson, W. N. (2024) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/sensors60989.2024.10784986 · Cited by 1
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Shkurti, T. E., & Çavuşoğlu, M. C. (2025) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2025.3583182 · Cited by 1
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Quiros, K. A. M., Nelson, T. M., & Eskandari, M. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.108312 · Cited by 2
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Calanca, A., Cheng, Z., Dall’Alba, D., Fiorini, P., Muscolo, G. G., & Zandonà, C. (2026) · Springer tracts in advanced robotics · doi:10.1007/978-3-032-04247-7_11 · Cited by 1
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Miayazaki, R., Kanno, T., & Kawashima, K. (2016) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2016.7558604 · Cited by 1
Human Palpation Behavior Modeling with Mixture Models: Towards Autonomous Robotic Palpation
Xu, W., Guo, J., & Ren, H. (2018) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm.2018.8610764 · Cited by 1
Dong, S., Xiong, X., Lou, Y., Luo, D., Wu, J., Yang, T., Liu, H., & Dong, Y. (2025) · International Computational Imaging Conference (CITA) · doi:10.1117/12.3055487 · Cited by 1
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Zhang, D., Chen, H., Jiang, Y., Cai, J. W., Feng, L. P., & Zhang, X. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824502-6.00006-5
Tactile Internet and the Remote Surgeon
Majid, M. I., Aslam, T., Hashmi, A. M., Subzwari, D., & Siddiqui, B. (2021) · IGI Global eBooks · doi:10.4018/978-1-7998-7708-0.ch038
Variable Stiffness & Dynamic Force Sensor for Tissue Palpation
Dawood, A. B., Zhang, Z., Angelmahr, M., Arezzo, A., & Althoefer, K. A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72059-8_25
Li, X., Shen, L., Li, L., Mo, H., Wang, X., Ma, X., & Zheng, J. (2024) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio64047.2024.10907345
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Albakri, A. (2015) · theses.fr (ABES) · doi:10.70675/2d7bf556za70bz41ddza4b9z4d9a5c1fcb25 · Cited by 1
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
Ma, Q., Jiang, R., Althoefer, K. A., Herzig, N., & Godaba, H. (2026) · Advanced Robotics Research · doi:10.1002/adrr.70140
Kanaya, K., Ide, S., ASANO, T., Murakami, K., & Yamakawa, Y. (2026) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2026.p0753
Kanaya, K., Murakami, K., & Yamakawa, Y. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-32230-2_16
Ma, G., Qin, T., Liu, J., & Draelos, M. (2026) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57385.2026.11697359
Metadata
- Authors
- Konstantinova, J., Jiang, A., Althoefer, K., Dasgupta, P., & Nanayakkara, T.
- Affiliations
- King's College London (GB)
- Venue
- IEEE Sensors Journal
- Published
- 2014-08
- Volume
- 14
- Issue
- 8
- Pages
- 2490-2501
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2019690914
- Cited by
- 166
- References
- 107
- Citations by year
- 2026: 6 · 2025: 21 · 2024: 14 · 2023: 15 · 2022: 15 · 2021: 11 · 2020: 16 · 2019: 18 · 2018: 20 · 2017: 13 · 2016: 12 · 2015: 4 · 2014: 1
- FWCI
- 5.19
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Locations
- IEEE Sensors Journal (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- Seventh Framework Program of the European Commission through the framework of European Union Project STIFF-FLOP (287728)
- National Institute for Health Research Biomedical Research Centre through the Guy¿s and St Thomas¿ NHS Foundation Trust and King¿s College London
- Guy¿s and St. Thomas¿ Charity
- Vattikuti Foundation
- National Institute for Health Research Biomedical Research Centre
- Medical Research Council Centre for Transplantation
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Keywords
- tactile sensing, robot-assisted minimally invasive surgery, tactile sensors, manual palpation
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