Dynamic Electromechanical Co‐Stimulation Based Enhancement of Skeletal Muscle Tissues for Fast Biosyncretic Robots Actuation

Abstract Biosyncretic robots composed of living and synthetic materials have garnered significant attention due to their high energy conversion efficiency, good biocompatibility and human‐robot interaction safety. Among common living actuation materials, artificial skeletal muscle tissue (ASMT) stands out for its good size scalability, controllability, and potential high driving force. However, due to the low differentiation efficiency of myoblasts, the performance of ASMT lags behind that of natural skeletal muscle tissue, thereby hindering the progress of biosyncretic robots. Here, inspired by the training mode of human skeletal muscle, an electromechanical co‐stimulation system for enhancing the performance of ASMTs is proposed. This system is capable of simultaneously applying electrical and mechanical stimulation to ASMTs. Moreover, the mechanical resistance can be dynamically adjusted during ASMT growth based on real‐time measurements of the contractile force of the ASMT. The results show that the enhanced ASMTs demonstrate improved differentiation and performance and can actuate a robot at a maximum speed of 2.38 mm s −1 , which is faster than those of most currently reported ASMT‐based robots. This study introduces a novel approach for enhancing the performance of ASMTs, with substantial implications for the fields of biosyncretic robots and tissue engineering.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-10-14
DOI
https://doi.org/10.1002/adfm.202410334
Citations
13
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.40

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article

Dynamic Electromechanical Co‐Stimulation Based Enhancement of Skeletal Muscle Tissues for Fast Biosyncretic Robots Actuation

Hengshen Qin, Ruiqian Wang, Lianqing Liu, Qi Zhang et al.
13 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.40
article

Dynamic Electromechanical Co‐Stimulation Based Enhancement of Skeletal Muscle Tissues for Fast Biosyncretic Robots Actuation

Hengshen Qin, Ruiqian Wang, Lianqing Liu, Qi Zhang, Chuang Zhang, Lianchao Yang, Yiwei Zhang
article en
13 citations

Abstract

Abstract Biosyncretic robots composed of living and synthetic materials have garnered significant attention due to their high energy conversion efficiency, good biocompatibility and human‐robot interaction safety. Among common living actuation materials, artificial skeletal muscle tissue (ASMT) stands out for its good size scalability, controllability, and potential high driving force. However, due to the low differentiation efficiency of myoblasts, the performance of ASMT lags behind that of natural skeletal muscle tissue, thereby hindering the progress of biosyncretic robots. Here, inspired by the training mode of human skeletal muscle, an electromechanical co‐stimulation system for enhancing the performance of ASMTs is proposed. This system is capable of simultaneously applying electrical and mechanical stimulation to ASMTs. Moreover, the mechanical resistance can be dynamically adjusted during ASMT growth based on real‐time measurements of the contractile force of the ASMT. The results show that the enhanced ASMTs demonstrate improved differentiation and performance and can actuate a robot at a maximum speed of 2.38 mm s −1 , which is faster than those of most currently reported ASMT‐based robots. This study introduces a novel approach for enhancing the performance of ASMTs, with substantial implications for the fields of biosyncretic robots and tissue engineering.

Advanced Functional MaterialsVol. 35(2)
Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, State Key Laboratory of Robotics, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Sensor and Energy Harvesting Materials
2.40
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