BIFLEX: Optimization and experimental characterization of a flexible underactuated gripper mimicking the human thumb–index pair

BIFLEX is a flexible underactuated gripper inspired by the human thumb–index pair and designed for distal precision pinch and proximal adaptive holding. Building on a previously developed soft-hybrid Fin-Ray finger, this study combines finger-geometry optimization, four-bar kinematic synthesis, and shared single-motor actuation through a four-bar and tendon–pulley transmission. Parametric analyses guide rib orientation and compliant-joint geometry, while coupled finite-element analysis quantifies tendon forces, joint stresses, and crank torque during closure. The simulated maximum tendon force was approximately 2 . 9 N , and maximum compliant-joint stress remained below approximately 3.7 MPa. Grasping experiments covered 23 object types, with ten trials per object and success defined as retention for at least 1 0 s without visible slip. Additional tests evaluated three cylindrical objects at motor commands of 120°, 150°, and 180°. Separate load-holding experiments demonstrated stable loads of 6.5 kg in an inclined single-finger configuration and 8 kg in a vertically inverted two-finger configuration. Cyclic tests without object contact characterized angular hysteresis, repeatability, and out-of-plane motion. An SLS-type angular model described the measured creep response, with fitted amplitudes of 0.336°–0.742°. These results characterize the capabilities and configuration-dependent limitations of a single-motor gripper targeting two taxonomy-inspired grasping modes.

Authors

Institutions

Publication Details

Journal
Mechatronics
Published
2026-10-28
DOI
https://doi.org/10.1016/j.mechatronics.2026.103628
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

BIFLEX: Optimization and experimental characterization of a flexible underactuated gripper mimicking the human thumb–index pair

Seyyed Masoud Kargar, Giovanni Berselli, Cristina Piazza
1 links
Mechatronics
Soft Robotics and Applications
article

BIFLEX: Optimization and experimental characterization of a flexible underactuated gripper mimicking the human thumb–index pair

Seyyed Masoud Kargar, Giovanni Berselli, Cristina Piazza
article en

Abstract

BIFLEX is a flexible underactuated gripper inspired by the human thumb–index pair and designed for distal precision pinch and proximal adaptive holding. Building on a previously developed soft-hybrid Fin-Ray finger, this study combines finger-geometry optimization, four-bar kinematic synthesis, and shared single-motor actuation through a four-bar and tendon–pulley transmission. Parametric analyses guide rib orientation and compliant-joint geometry, while coupled finite-element analysis quantifies tendon forces, joint stresses, and crank torque during closure. The simulated maximum tendon force was approximately 2 . 9 N , and maximum compliant-joint stress remained below approximately 3.7 MPa. Grasping experiments covered 23 object types, with ten trials per object and success defined as retention for at least 1 0 s without visible slip. Additional tests evaluated three cylindrical objects at motor commands of 120°, 150°, and 180°. Separate load-holding experiments demonstrated stable loads of 6.5 kg in an inclined single-finger configuration and 8 kg in a vertically inverted two-finger configuration. Cyclic tests without object contact characterized angular hysteresis, repeatability, and out-of-plane motion. An SLS-type angular model described the measured creep response, with fitted amplitudes of 0.336°–0.742°. These results characterize the capabilities and configuration-dependent limitations of a single-motor gripper targeting two taxonomy-inspired grasping modes.

MechatronicsVol. 121
Italian Institute of Technology (IT), Technical University of Munich (DE), University of Genoa (IT)
FP7 Nanosciences, Nanotechnologies, Materials and new Production Technologies
Openalex Percentile: Top 25%
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.

Laika access coming soon