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Light-steerable locomotion using zero-elastic-energy modes.
Zixuan Deng1, Kai Li2, Arri Priimagi1
1Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
This study introduces a light-fueled liquid crystal elastomer torus capable of autonomous, self-sustained movement. Its locomotion direction is optically controlled, enabling agile navigation in diverse environments for soft robotics applications.
Area of Science:
- Soft matter physics
- Robotics
- Materials science
Background:
- Achieving autonomous and steerable robotic motion from synthetic materials is crucial for advanced applications.
- Dissipative mechanisms can drive materials out of equilibrium, enabling self-sustained motions.
- Controlling agile movement in diverse environments remains a significant challenge in soft robotics.
Purpose of the Study:
- To develop a light-fueled soft material system for autonomous, self-sustained robotic motion.
- To demonstrate dynamic steerability and agile movement in various environments.
- To explore the potential of prestrained topological structures in out-of-equilibrium soft matter robotics.
Main Methods:
- Fabrication of a liquid crystal elastomer torus with prestrained topological structure.
- Utilizing constant light excitation to induce self-sustained out-of-equilibrium movement.
- Exploiting dynamic friction and drag for optical control of locomotion direction.
Main Results:
- The liquid crystal elastomer torus exhibits spontaneous rotation under constant light excitation due to zero-elastic-energy modes.
- Locomotion direction is optically controlled in both dry and fluid environments.
- Demonstrated lateral and vertical swimming in the Stokes regime, with steerability in three-dimensional space.
Conclusions:
- Light-fueled soft liquid crystal elastomer tori offer a novel platform for autonomous robotic functions.
- Prestrained topological structures are key to enabling steerable, out-of-equilibrium soft matter robotics.
- The demonstrated optical control of locomotion opens possibilities for advanced soft robotic systems.
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