From beetle to bot: bioinspired design of robotic grippers based on stag beetle mandible biomechanics

Conventional rigid grippers remain the most-used robotic grippers in industrial assembly tasks. However, they are limited in their ability to handle a diverse range of objects. This study draws inspiration from nature to address these limitations, employing multidisciplinary methods, such as computer-aided design, parametric modeling, finite element analysis, 3D printing, and mechanical testing. Computational analysis of three distinct mandible morphs from the stag beetle<i>Cyclommatus mniszechi</i>revealed that key geometric features-specifically mandible curvature and denticle arrangement-govern a functional trade-off between grasping ability and structural safety. This analysis identified a specific morphology optimized for superior grabbing performance, which served as the template for our design. Leveraging these biological principles, we used parametric modeling to design, and 3D printing to fabricate, a series of novel, mechanically intelligent grippers. Mechanical testing of these prototypes validated our design approach, demonstrating that specific modifications to curvature could significantly enhance the gripper's load-bearing capacity while minimizing object damage. This work establishes a clear pathway from biomechanical analysis to engineered application, offering a robust and cost-efficient blueprint for developing next-generation grippers that operate effectively without complex sensing or actuation systems for tasks in manufacturing, logistics, and healthcare.

Authors

Institutions

Publication Details

Journal
Bioinspiration & Biomimetics
Published
2025-09-09
DOI
https://doi.org/10.1088/1748-3190/ae0547
Citations
1
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From beetle to bot: bioinspired design of robotic grippers based on stag beetle mandible biomechanics

Chung‐Ping Lin, Hamed Rajabi, Mohammad Taghi Rajabi, Arman Toofani et al.
1 citations
Bioinspiration & Biomimetics
Engineering Technology and Methodologies
1.24
article

From beetle to bot: bioinspired design of robotic grippers based on stag beetle mandible biomechanics

Chung‐Ping Lin, Hamed Rajabi, Mohammad Taghi Rajabi, Arman Toofani, Preenjot Singh, Jianing Wu, Sepehr H. Eraghi, Shayan Ramezanpour
article en
1 citations

Abstract

Conventional rigid grippers remain the most-used robotic grippers in industrial assembly tasks. However, they are limited in their ability to handle a diverse range of objects. This study draws inspiration from nature to address these limitations, employing multidisciplinary methods, such as computer-aided design, parametric modeling, finite element analysis, 3D printing, and mechanical testing. Computational analysis of three distinct mandible morphs from the stag beetle<i>Cyclommatus mniszechi</i>revealed that key geometric features-specifically mandible curvature and denticle arrangement-govern a functional trade-off between grasping ability and structural safety. This analysis identified a specific morphology optimized for superior grabbing performance, which served as the template for our design. Leveraging these biological principles, we used parametric modeling to design, and 3D printing to fabricate, a series of novel, mechanically intelligent grippers. Mechanical testing of these prototypes validated our design approach, demonstrating that specific modifications to curvature could significantly enhance the gripper's load-bearing capacity while minimizing object damage. This work establishes a clear pathway from biomechanical analysis to engineered application, offering a robust and cost-efficient blueprint for developing next-generation grippers that operate effectively without complex sensing or actuation systems for tasks in manufacturing, logistics, and healthcare.

Bioinspiration & BiomimeticsVol. 20(5)
Visva-Bharati University (IN), National Taiwan Normal University (TW), Sun Yat-sen University (CN), London South Bank University (GB), University of Guilan (IR), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 15%
Engineering Technology and Methodologies
1.24
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.