Biomimetic Multifinger Tactile Sensing and Contact‐Regulated Palpation for Autonomous Breast Tumor Localization

ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof‐of‐concept. The system integrates tactile arrays with a contact‐regulation scheme under standardized protocols. Each fingertip produces spatial tactile heatmaps, and a human‐like multifinger pressing strategy is used to elicit finger‐wise normal‐interaction responses under controlled contact conditions. The feedback variable is a resultant tactile signal obtained by aggregating taxel readings and is treated as a proxy of normal interaction rather than an absolute force measurement. A real‐time Kalman filter is employed to improve signal fidelity during dynamic contact. The platform is validated on breast‐inspired silicone phantoms with embedded rigid inclusions at varying depths and orientations. Across the tested scenarios, the system achieves repeatable real‐time localization, with stiffness‐weighted centroid errors within 10 mm of the nominal inclusion coordinates and a low incidence of spurious detections under the standardized protocol. We clarify that this study is a proof‐of‐concept focusing on stiffness anomaly localization under controlled phantom conditions rather than clinical diagnosis or benign/malignant classification.

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Publication Details

Journal
Journal of Field Robotics
Published
2026-04-21
DOI
https://doi.org/10.1002/rob.70226
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
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article

Biomimetic Multifinger Tactile Sensing and Contact‐Regulated Palpation for Autonomous Breast Tumor Localization

Samer Alfayad, Hamid Reza Karimi, Haitao Zhang, Yuanyuan Shen et al.
Journal of Field Robotics
Soft Robotics and Applications
article

Biomimetic Multifinger Tactile Sensing and Contact‐Regulated Palpation for Autonomous Breast Tumor Localization

Samer Alfayad, Hamid Reza Karimi, Haitao Zhang, Yuanyuan Shen, Baifeng Li, Chao Cheng, Hang Su, Kai Cheng
article en

Abstract

ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof‐of‐concept. The system integrates tactile arrays with a contact‐regulation scheme under standardized protocols. Each fingertip produces spatial tactile heatmaps, and a human‐like multifinger pressing strategy is used to elicit finger‐wise normal‐interaction responses under controlled contact conditions. The feedback variable is a resultant tactile signal obtained by aggregating taxel readings and is treated as a proxy of normal interaction rather than an absolute force measurement. A real‐time Kalman filter is employed to improve signal fidelity during dynamic contact. The platform is validated on breast‐inspired silicone phantoms with embedded rigid inclusions at varying depths and orientations. Across the tested scenarios, the system achieves repeatable real‐time localization, with stiffness‐weighted centroid errors within 10 mm of the nominal inclusion coordinates and a low incidence of spurious detections under the standardized protocol. We clarify that this study is a proof‐of‐concept focusing on stiffness anomaly localization under controlled phantom conditions rather than clinical diagnosis or benign/malignant classification.

Journal of Field Robotics
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Jilin University (CN), Université Paris-Saclay (FR), Informatique, BioInformatique, Systèmes Complexes (FR), Politecnico di Milano (IT)
Quality Education
Openalex Percentile: Top 20%
Soft Robotics and Applications
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