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Updated: May 31, 2026

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
Published on: October 23, 2015
Bioinspired additive manufacturing material optimization for increased stiffness and improved strain sensing in
Gesa F Dinges1, Isabella M Kudyba1, Foster O Holmquist1
1Neuro-Mechanical Intelligence Laboratory, Department of Mechanical, Materials and Aerospace Engineering, West Virginia University, Morgantown, WV 26501, United States of America.
Researchers mimicked insect exoskeletons using 3D printing and Kevlar® reinforcement to create robotic limbs. Partial reinforcement optimized stiffness and force sensing for adaptive walking robots.
Area of Science:
- Robotics
- Bio-inspired Engineering
- Materials Science
Background:
- Robots navigating complex terrain need accurate limb kinematics and force sensing for adaptive control.
- Current robotic limbs often use rigid segments and load cells, creating a trade-off between stiffness for kinematics and sensitivity for force sensing.
- Insects achieve this balance using heterogeneous exoskeletons with embedded strain sensors.
Purpose of the Study:
- To investigate localized Kevlar® fiber reinforcement in 3D printed robotic limbs.
- To balance structural stiffness for kinematics with strain sensitivity for force sensing, inspired by insect leg structures.
- To enhance the mechanical and sensing performance of robotic limbs through bio-inspired design.
Main Methods:
- Fabrication of 3D printed robotic limbs with varying degrees of Kevlar® fiber reinforcement (none, partial, full).
- Evaluation using beam bending, robot stepping, and fatigue tests to assess endpoint stiffness, strain sensitivity, and structural integrity.
- Analysis of localized reinforcement effects on mechanical properties and sensing capabilities.
Main Results:
- Partial Kevlar® fiber reinforcement effectively balanced limb stiffness and amplified strain signals, improving signal-to-noise ratio.
- Partially reinforced limbs exhibited superior fatigue resistance, maintaining sensing function after extensive cyclic loading.
- Localized, heterogeneous reinforcement mimics insect structures to enhance robotic limb performance.
Conclusions:
- Partial reinforcement is optimal for robotic limbs requiring both kinematic accuracy and sensitive force feedback.
- Bio-inspired heterogeneous reinforcement strategies can significantly improve robotic locomotion and sensing.
- This approach offers a pathway to more adaptable and robust robotic systems for challenging environments.
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