Bio‐Inspired Artificial Muscle‐Tendon Complex of Liquid Crystal Elastomer for Bidirectional Afferent‐Efferent Signaling

The muscle-tendon complex (MTC) in biological systems integrates contractile actuation and proprioceptive sensing, enabling coordinated feedback control of muscle activations through simultaneous afferent (sensory) and efferent (motor) signaling. To achieve similar functionality, artificial muscles, often based on polymeric materials with intricate material behaviors, require embedded proprioceptive capabilities to enable adaptive and reliable feedback control. Here, an artificial MTC-inspired liquid crystal elastomer (LCE) muscle with embedded physical intelligence is presented that supports simultaneous sensing and actuation. The proposed system utilizes embedded liquid metal (LM) channels for Joule heating and sensing of mechanical states, such as force and length, within the LCE structure. The multimaterial design combines isotropic LCE and nematic LCE, each with distinct thermomechanical properties optimized for specific functions, allowing for responsive contractile actuation and efficient proprioception. Integrated within a single, compact structure, this artificial muscle combines all sensing and actuation components, enhancing compliance and proprioceptive functionality. Furthermore, the LCE actuators are arranged in an antagonistic pair, mirroring the setup of biological muscles, to improve controllability and coordination. These MTC-inspired LCE artificial muscles demonstrate closed-loop feedback control in robotic applications, such as a robotic finger and gripper system, highlighting the potential of embedded physical intelligence in advanced robotic control systems.

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Publication Details

Journal
Advanced Materials
Published
2025-08-17
DOI
https://doi.org/10.1002/adma.202503094
Citations
2
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
1.43

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article

Bio‐Inspired Artificial Muscle‐Tendon Complex of Liquid Crystal Elastomer for Bidirectional Afferent‐Efferent Signaling

Shengqiang Cai, Yong‐Lae Park, Howon Lee, Jiyeon Cho et al.
2 citations
Advanced Materials
Advanced Materials and Mechanics
1.43
article

Bio‐Inspired Artificial Muscle‐Tendon Complex of Liquid Crystal Elastomer for Bidirectional Afferent‐Efferent Signaling

Shengqiang Cai, Yong‐Lae Park, Howon Lee, Jiyeon Cho, Min-Hee Lee, Yang Wang, Taejun Park
article en
2 citations

Abstract

The muscle-tendon complex (MTC) in biological systems integrates contractile actuation and proprioceptive sensing, enabling coordinated feedback control of muscle activations through simultaneous afferent (sensory) and efferent (motor) signaling. To achieve similar functionality, artificial muscles, often based on polymeric materials with intricate material behaviors, require embedded proprioceptive capabilities to enable adaptive and reliable feedback control. Here, an artificial MTC-inspired liquid crystal elastomer (LCE) muscle with embedded physical intelligence is presented that supports simultaneous sensing and actuation. The proposed system utilizes embedded liquid metal (LM) channels for Joule heating and sensing of mechanical states, such as force and length, within the LCE structure. The multimaterial design combines isotropic LCE and nematic LCE, each with distinct thermomechanical properties optimized for specific functions, allowing for responsive contractile actuation and efficient proprioception. Integrated within a single, compact structure, this artificial muscle combines all sensing and actuation components, enhancing compliance and proprioceptive functionality. Furthermore, the LCE actuators are arranged in an antagonistic pair, mirroring the setup of biological muscles, to improve controllability and coordination. These MTC-inspired LCE artificial muscles demonstrate closed-loop feedback control in robotic applications, such as a robotic finger and gripper system, highlighting the potential of embedded physical intelligence in advanced robotic control systems.

Advanced MaterialsVol. 38(2)
Seoul National University (KR), University of California San Diego (US)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 18%
Advanced Materials and Mechanics
1.43
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