Design, prototyping and testing of a bioinspired prosthetic hand finger based on six-bar linkage

This study presents the design, prototyping, and testing of a bioinspired 1-degree-of-freedom prosthetic hand finger based on a six-bar linkage. The objective is to replicate natural finger motion patterns and subject-specific anthropometric features to prospectively overcome the problem of devices abandonment and enhance usability in everyday life. The design leverages additive manufacturing techniques and 3D scanning, which play a crucial role to enable affordable customization. The proposed methodology integrates kinematic synthesis, performance evaluation, and sensitivity analysis to identify an optimal mechanism robust to fabrication inaccuracies. The selected solution exhibits bioinspired linear couplings among joints flexion/extension closely resembling the reference human average ones, with strong linear trends ( R 2 ≥ 0.97 ) and low deviations from desired proximal and distal couplings (≤0.07, ≤0.05). A unitary load was applied under the worst-case configuration of the mechanism: the static analysis identified maximum joint reaction forces of 14 - 18 N and actuation torques of 80 - 110 N mm, while the FEM-based evaluation revealed a safety factor of 3.8. The final design was prototyped and tested to verify the expected motion, showing fingertip RMSE of 2.27 mm compared to human motion, closely replicating human finger trajectories. • Linear intra-finger couplings allow for underactuation of 1-DoF prosthetic fingers. • General Performance Index combines kinematic and static metrics for mechanism optimal selection. • Sensitivity analysis filters mechanisms, favoring robustness to fabrication inaccuracies. • Six-bar linkages for prosthetic fingers can closely replicate human fingertip motion.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-11-06
DOI
https://doi.org/10.1016/j.rineng.2025.107989
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design, prototyping and testing of a bioinspired prosthetic hand finger based on six-bar linkage

Loredana Zollo, Nevio Luigi Tagliamonte, Salvatore Maria Li Gioi, Fabrizio Taffoni et al.
Results in Engineering
Robot Manipulation and Learning
article

Design, prototyping and testing of a bioinspired prosthetic hand finger based on six-bar linkage

Loredana Zollo, Nevio Luigi Tagliamonte, Salvatore Maria Li Gioi, Fabrizio Taffoni, Francesca Cordella, Alessandro Ceccarelli, Ludovica Nini
article en

Abstract

This study presents the design, prototyping, and testing of a bioinspired 1-degree-of-freedom prosthetic hand finger based on a six-bar linkage. The objective is to replicate natural finger motion patterns and subject-specific anthropometric features to prospectively overcome the problem of devices abandonment and enhance usability in everyday life. The design leverages additive manufacturing techniques and 3D scanning, which play a crucial role to enable affordable customization. The proposed methodology integrates kinematic synthesis, performance evaluation, and sensitivity analysis to identify an optimal mechanism robust to fabrication inaccuracies. The selected solution exhibits bioinspired linear couplings among joints flexion/extension closely resembling the reference human average ones, with strong linear trends ( R 2 ≥ 0.97 ) and low deviations from desired proximal and distal couplings (≤0.07, ≤0.05). A unitary load was applied under the worst-case configuration of the mechanism: the static analysis identified maximum joint reaction forces of 14 - 18 N and actuation torques of 80 - 110 N mm, while the FEM-based evaluation revealed a safety factor of 3.8. The final design was prototyped and tested to verify the expected motion, showing fingertip RMSE of 2.27 mm compared to human motion, closely replicating human finger trajectories. • Linear intra-finger couplings allow for underactuation of 1-DoF prosthetic fingers. • General Performance Index combines kinematic and static metrics for mechanism optimal selection. • Sensitivity analysis filters mechanisms, favoring robustness to fabrication inaccuracies. • Six-bar linkages for prosthetic fingers can closely replicate human fingertip motion.

Results in EngineeringVol. 28
Università Campus Bio-Medico (IT)
Openalex Percentile: Top 58%
Robot Manipulation and Learning
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.