Robotic Palpation for Spatiotemporal Arterial Pulse Quantification and Mapping Using Multilevel Microdome‐Based Soft Pressure Sensors

ABSTRACT Humanoid robots have advanced capabilities through physical and physiological examinations, but their reliance on visual information limits biological‐object assessment, underscoring the need for tactile perception. Current tactile systems primarily detect basic contact using a limited number of sensors, hindering accurate soft‐object localization and physiological signal acquisition. This study introduces a robotic palpation strategy by utilizing a fully soft‐tactile‐sensor‐integrated humanoid hand for real‐time spatiotemporal arterial pulse diagnosis. A facile fabrication technique produces an artificial pressure‐sensitive layer with multilevel microscale dome‐on‐dome (DoD) structures using eutectic gallium‐indium, achieving high‐density (>72 500 ea/cm 2 ) and large‐area (wafer‐scale >98% yield) fabrication. The DoD‐integrated pressure sensor exhibits a 7.5 × enhanced dynamic response compared with a single‐level sensing layer, enabling the simultaneous detection of subtle vibrations under high‐pressure conditions. The artificial skin is integrated into a humanoid hand, featuring 81 sensors on the fingertip and a total of 801 sensors on the hand, allowing real‐time spatiotemporal arterial pulse quantification and mapping.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-09-07
DOI
https://doi.org/10.1002/smll.75582
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robotic Palpation for Spatiotemporal Arterial Pulse Quantification and Mapping Using Multilevel Microdome‐Based Soft Pressure Sensors

Kyeong Taek Oh, Min‐gu Kim, Ji‐Won Choi, Jaehwan Jang et al.
Small
Advanced Sensor and Energy Harvesting Materials
article

Robotic Palpation for Spatiotemporal Arterial Pulse Quantification and Mapping Using Multilevel Microdome‐Based Soft Pressure Sensors

Kyeong Taek Oh, Min‐gu Kim, Ji‐Won Choi, Jaehwan Jang, Seong‐Min Im, Byeong-Sun Park
article en

Abstract

ABSTRACT Humanoid robots have advanced capabilities through physical and physiological examinations, but their reliance on visual information limits biological‐object assessment, underscoring the need for tactile perception. Current tactile systems primarily detect basic contact using a limited number of sensors, hindering accurate soft‐object localization and physiological signal acquisition. This study introduces a robotic palpation strategy by utilizing a fully soft‐tactile‐sensor‐integrated humanoid hand for real‐time spatiotemporal arterial pulse diagnosis. A facile fabrication technique produces an artificial pressure‐sensitive layer with multilevel microscale dome‐on‐dome (DoD) structures using eutectic gallium‐indium, achieving high‐density (>72 500 ea/cm 2 ) and large‐area (wafer‐scale >98% yield) fabrication. The DoD‐integrated pressure sensor exhibits a 7.5 × enhanced dynamic response compared with a single‐level sensing layer, enabling the simultaneous detection of subtle vibrations under high‐pressure conditions. The artificial skin is integrated into a humanoid hand, featuring 81 sensors on the fingertip and a total of 801 sensors on the hand, allowing real‐time spatiotemporal arterial pulse quantification and mapping.

Small
Daegu Gyeongbuk Institute of Science and Technology (KR), Yonsei University (KR)
National Research Foundation, Yonsei University, Ministry of Science and ICT, South Korea, Samsung, Yonsei University College of Medicine
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.