A Cable‐Driven Parallel Wire Robot for Probe Positioning and Tissue Palpation on Curved Phantoms

Automated breast cancer screening has the potential to overcome the limitations of manual techniques, such as operator variability and the inability to image dense tissue. However, existing robotic solutions are often bulky, rigid, and unsafe for patient contact outside of clinical settings. Here, we present a wearable, cable‐driven parallel robot (CDPR) designed for precise ultrasound probe positioning and quantitative stiffness mapping on curved body surfaces. Unlike rigid manipulators, our system utilizes a lightweight, flexible architecture that ensures continuous skin contact through a Jacobian‐based tension optimization controller. We demonstrate that this framework effectively manages the static indeterminacy of the three‐cable mechanism, achieving sub‐2‐mm positioning accuracy on anatomically curved phantoms while strictly enforcing safety force constraints. Furthermore, we validate a novel dual‐modality capability: by monitoring cable tension during indentation, the system autonomously derives force–displacement curves to estimate soft tissue stiffness. This work bridges the gap between large‐scale medical robots and wearable health monitors, offering a pathway toward autonomous, hands‐free ultrasound imaging and biomechanical tissue characterization in nonclinical environments.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2026-08-25
DOI
https://doi.org/10.1002/aisy.70518
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Cable‐Driven Parallel Wire Robot for Probe Positioning and Tissue Palpation on Curved Phantoms

Dinesh K. Patel, Carmel Majidi, Christina Patterson
Advanced Intelligent Systems
Soft Robotics and Applications
article

A Cable‐Driven Parallel Wire Robot for Probe Positioning and Tissue Palpation on Curved Phantoms

Dinesh K. Patel, Carmel Majidi, Christina Patterson
article en

Abstract

Automated breast cancer screening has the potential to overcome the limitations of manual techniques, such as operator variability and the inability to image dense tissue. However, existing robotic solutions are often bulky, rigid, and unsafe for patient contact outside of clinical settings. Here, we present a wearable, cable‐driven parallel robot (CDPR) designed for precise ultrasound probe positioning and quantitative stiffness mapping on curved body surfaces. Unlike rigid manipulators, our system utilizes a lightweight, flexible architecture that ensures continuous skin contact through a Jacobian‐based tension optimization controller. We demonstrate that this framework effectively manages the static indeterminacy of the three‐cable mechanism, achieving sub‐2‐mm positioning accuracy on anatomically curved phantoms while strictly enforcing safety force constraints. Furthermore, we validate a novel dual‐modality capability: by monitoring cable tension during indentation, the system autonomously derives force–displacement curves to estimate soft tissue stiffness. This work bridges the gap between large‐scale medical robots and wearable health monitors, offering a pathway toward autonomous, hands‐free ultrasound imaging and biomechanical tissue characterization in nonclinical environments.

Advanced Intelligent Systems
Carnegie Mellon University (US)
Carnegie Mellon University
Good health and well-being
Openalex Percentile: Top 19%
Soft Robotics and Applications
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.