Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter
Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designing these machines is no trivial task for humans, pr...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2024.1337722/full |
| _version_ | 1797213550991638528 |
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| author | Michail-Antisthenis Tsompanas Michail-Antisthenis Tsompanas Igor Balaz |
| author_facet | Michail-Antisthenis Tsompanas Michail-Antisthenis Tsompanas Igor Balaz |
| author_sort | Michail-Antisthenis Tsompanas |
| collection | DOAJ |
| description | Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designing these machines is no trivial task for humans, provided the field’s short history and, thus, the limited experience and expertise on designing and controlling similar entities, such as soft robots. To unveil the advantages of BHMs, we propose to overcome the hindrances of their design process by developing a modular modeling and simulation framework for the digital design of BHMs that incorporates Artificial Intelligence powered algorithms. Here, we present the initial workings of the first module in an exemplar framework, namely, an evolutionary morphology generator. As proof-of-principle for this project, we use the scenario of developing a biohybrid catheter as a medical device capable of arriving to hard-to-reach regions of the human body to release drugs. We study the automatically generated morphology of actuators that will enable the functionality of that catheter. The primary results presented here enforced the update of the methodology used, in order to better depict the problem under study, while also provided insights for the future versions of the software module. |
| first_indexed | 2024-04-24T11:00:04Z |
| format | Article |
| id | doaj.art-bb90f0571e164ee197ad91fb39e2946f |
| institution | Directory Open Access Journal |
| issn | 2296-9144 |
| language | English |
| last_indexed | 2024-04-24T11:00:04Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj.art-bb90f0571e164ee197ad91fb39e2946f2024-04-12T04:14:33ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442024-04-011110.3389/frobt.2024.13377221337722Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheterMichail-Antisthenis Tsompanas0Michail-Antisthenis Tsompanas1Igor Balaz2School of Computing and Creative Technologies, University of the West of England, Bristol, United KingdomUnconventional Computing Laboratory, University of the West of England, Bristol, United KingdomLaboratory for Meteorology, Physics and Biophysics, Faculty of Agriculture, University of Novi Sad, Novi Sad, SerbiaBiohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designing these machines is no trivial task for humans, provided the field’s short history and, thus, the limited experience and expertise on designing and controlling similar entities, such as soft robots. To unveil the advantages of BHMs, we propose to overcome the hindrances of their design process by developing a modular modeling and simulation framework for the digital design of BHMs that incorporates Artificial Intelligence powered algorithms. Here, we present the initial workings of the first module in an exemplar framework, namely, an evolutionary morphology generator. As proof-of-principle for this project, we use the scenario of developing a biohybrid catheter as a medical device capable of arriving to hard-to-reach regions of the human body to release drugs. We study the automatically generated morphology of actuators that will enable the functionality of that catheter. The primary results presented here enforced the update of the methodology used, in order to better depict the problem under study, while also provided insights for the future versions of the software module.https://www.frontiersin.org/articles/10.3389/frobt.2024.1337722/fullbiohybrid machines3D voxel-based simulatoroptimizationevolutionary algorithmsmachine learning |
| spellingShingle | Michail-Antisthenis Tsompanas Michail-Antisthenis Tsompanas Igor Balaz Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter Frontiers in Robotics and AI biohybrid machines 3D voxel-based simulator optimization evolutionary algorithms machine learning |
| title | Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| title_full | Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| title_fullStr | Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| title_full_unstemmed | Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| title_short | Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| title_sort | outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter |
| topic | biohybrid machines 3D voxel-based simulator optimization evolutionary algorithms machine learning |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2024.1337722/full |
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