Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines
The intriguing opportunities enabled by the use of living components in biological machines have spurred the development of a variety of muscle‐powered biohybrid robots in recent years. Among them, several generations of tissue‐engineered biohybrid walkers have been established as reliable platforms...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202000237 |
| _version_ | 1818361669634490368 |
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| author | Jiaojiao Wang Xiaotian Zhang Junehu Park Insu Park Evin Kilicarslan Yongdeok Kim Zhi Dou Rashid Bashir Mattia Gazzola |
| author_facet | Jiaojiao Wang Xiaotian Zhang Junehu Park Insu Park Evin Kilicarslan Yongdeok Kim Zhi Dou Rashid Bashir Mattia Gazzola |
| author_sort | Jiaojiao Wang |
| collection | DOAJ |
| description | The intriguing opportunities enabled by the use of living components in biological machines have spurred the development of a variety of muscle‐powered biohybrid robots in recent years. Among them, several generations of tissue‐engineered biohybrid walkers have been established as reliable platforms to study untethered locomotion. However, despite these advances, such technology is not mature yet, and major challenges remain. Herein, steps are taken to address two of them: the lack of systematic design approaches, common to biohybrid robotics in general, and in the case of biohybrid walkers specifically, the lack of maneuverability. A dual‐ring biobot is presented which is computationally designed and selected to exhibit robust forward motion and rotational steering. This dual‐ring biobot consists of two independent muscle actuators and a four‐legged scaffold asymmetric in the fore/aft direction. The integration of multiple muscles within its body architecture, combined with differential electrical stimulation, allows the robot to maneuver. The dual‐ring robot design is then fabricated and experimentally tested, confirming computational predictions and turning abilities. Overall, a design approach based on modeling, simulation, and fabrication exemplified in this versatile robot represents a route to efficiently engineer complex biological machines with adaptive functionalities. |
| first_indexed | 2024-12-13T21:20:22Z |
| format | Article |
| id | doaj.art-dabca107306e4d35872c96c095933db1 |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-12-13T21:20:22Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-dabca107306e4d35872c96c095933db12022-12-21T23:31:08ZengWileyAdvanced Intelligent Systems2640-45672021-05-0135n/an/a10.1002/aisy.202000237Computationally Assisted Design and Selection of Maneuverable Biological Walking MachinesJiaojiao Wang0Xiaotian Zhang1Junehu Park2Insu Park3Evin Kilicarslan4Yongdeok Kim5Zhi Dou6Rashid Bashir7Mattia Gazzola8Department of Bioengineering University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Mechanical Science and Engineering University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Material Science and Engineering University of Illinois Urbana-Champaign Urbana IL 61801 USAHolonyak Micro and Nanotechnology Laboratory University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Molecular and Cellular Biology University of Illinois Urbana-Champaign Urbana IL 61801 USAHolonyak Micro and Nanotechnology Laboratory University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Mechanical Science and Engineering University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Bioengineering University of Illinois Urbana-Champaign Urbana IL 61801 USADepartment of Mechanical Science and Engineering University of Illinois Urbana-Champaign Urbana IL 61801 USAThe intriguing opportunities enabled by the use of living components in biological machines have spurred the development of a variety of muscle‐powered biohybrid robots in recent years. Among them, several generations of tissue‐engineered biohybrid walkers have been established as reliable platforms to study untethered locomotion. However, despite these advances, such technology is not mature yet, and major challenges remain. Herein, steps are taken to address two of them: the lack of systematic design approaches, common to biohybrid robotics in general, and in the case of biohybrid walkers specifically, the lack of maneuverability. A dual‐ring biobot is presented which is computationally designed and selected to exhibit robust forward motion and rotational steering. This dual‐ring biobot consists of two independent muscle actuators and a four‐legged scaffold asymmetric in the fore/aft direction. The integration of multiple muscles within its body architecture, combined with differential electrical stimulation, allows the robot to maneuver. The dual‐ring robot design is then fabricated and experimentally tested, confirming computational predictions and turning abilities. Overall, a design approach based on modeling, simulation, and fabrication exemplified in this versatile robot represents a route to efficiently engineer complex biological machines with adaptive functionalities.https://doi.org/10.1002/aisy.202000237biohybrid walkersbiological machinescomputational modeling |
| spellingShingle | Jiaojiao Wang Xiaotian Zhang Junehu Park Insu Park Evin Kilicarslan Yongdeok Kim Zhi Dou Rashid Bashir Mattia Gazzola Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines Advanced Intelligent Systems biohybrid walkers biological machines computational modeling |
| title | Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines |
| title_full | Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines |
| title_fullStr | Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines |
| title_full_unstemmed | Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines |
| title_short | Computationally Assisted Design and Selection of Maneuverable Biological Walking Machines |
| title_sort | computationally assisted design and selection of maneuverable biological walking machines |
| topic | biohybrid walkers biological machines computational modeling |
| url | https://doi.org/10.1002/aisy.202000237 |
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