3D-Printed Dynamic Liquid Crystal Elastomer Composites with Adaptive Reconfiguration Showing Multimodal,...

Area of Science:

• Soft robotics and biomimetic engineering.
• Materials science and advanced manufacturing.

Background:

• Environment-adaptive locomotion in nature, exemplified by water striders.
• Limitations of current soft robots in dynamic interface environments.

Purpose of the Study:

• To develop a light-driven, reconfigurable robot mimicking water strider locomotion.
• To explore multimodal propulsion and adaptive capabilities at the air-water interface.

Main Methods:

• 3D printing of a liquid crystal elastomer (LCE) robot incorporating carbon nanotubes (CNTs).
• Utilizing dynamic disulfide bonds for shape reconfigurability and photothermal actuation.
• Investigating three distinct propulsion modes (Marangoni effect, steam-wave, flapping) under varying light intensities.

Main Results:

• Achieved multimodal locomotion with speeds up to 16.8 mm s^-1.
• Demonstrated complex tasks: maze navigation, cargo handling, programmable rotation, and light-powered jumping (up to 6x robot length).
• Developed a phase map for locomotion selection and analyzed force-efficiency trade-offs.

Conclusions:

• The OptiLCE Strider showcases significant potential for intelligent systems in liquid interfaces.
• Dynamic LCE-based robots offer versatile solutions for soft robotics and biomimetic applications.
• Adaptive reconfiguration and multimodal locomotion are key for advanced robotic functionalities.