Optimizing Exoskeleton Design with Evolutionary Computation: An Intensive Survey

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Date

2023

Authors

Stroppa, Fabio
Soylemez, Aleyna
Yuksel, Huseyin Taner
Akbas, Baris
Sarac, Mine

Journal Title

Journal ISSN

Volume Title

Publisher

Mdpi

Open Access Color

GOLD

Green Open Access

No

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No
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Top 10%
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Abstract

Exoskeleton devices are designed for applications such as rehabilitation, assistance, and haptics. Due to the nature of physical human-machine interaction, designing and operating these devices is quite challenging. Optimization methods lessen the severity of these challenges and help designers develop the device they need. In this paper, we present an extensive and systematic literature search on the optimization methods used for the mechanical design of exoskeletons. We completed the search in the IEEE, ACM, and MDPI databases between 2017 and 2023 using the keywords exoskeleton, design, and optimization. We categorized our findings in terms of which limb (i.e., hand, wrist, arm, or leg) and application (assistive, rehabilitation, or haptic) the exoskeleton was designed for, the optimization metrics (force transmission, workspace, size, and adjustability/calibration), and the optimization method (categorized as evolutionary computation or non-evolutionary computation methods). We discuss our observations with respect to how the optimization methods have been implemented based on our findings. We conclude our paper with suggestions for future research.

Description

Keywords

Multimodal Optimization, Differential Evolution, Neuro-Rehabilitation, Algorithm, Transmission, Actuator, Task, Multimodal Optimization, Differential Evolution, exoskeleton, Neuro-Rehabilitation, design, Algorithm, optimization, Transmission, evolutionary algorithms, Actuator, mechanical design, Task, robotics, robotics, exoskeleton, design, mechanical design, TJ1-1570, Mechanical engineering and machinery, evolutionary algorithms, optimization

Turkish CoHE Thesis Center URL

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q2

Scopus Q

Q1
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OpenCitations Citation Count
9

Source

Robotics

Volume

12

Issue

4

Start Page

106

End Page

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Scopus : 13

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Mendeley Readers : 24

SCOPUS™ Citations

14

checked on Feb 07, 2026

Web of Science™ Citations

11

checked on Feb 07, 2026

Page Views

7

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Downloads

172

checked on Feb 07, 2026

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