3D-Printed Self-Healing Elastomers for Modular Soft Robotics

Area of Science:

• Materials Science
• Robotics Engineering
• Polymer Chemistry

Background:

• Current soft robot prototyping is complex and limits geometric design.
• Existing methods struggle to integrate intricate features and large-scale structures.

Purpose of the Study:

• To develop a novel self-healing elastomer for advanced soft robotics.
• To enable facile 3D printing of complex, modular soft robot components.

Main Methods:

• Vat photopolymerization of a thiol/acrylate elastomer system with dynamic-bond exchange.
• Incorporation of physical crosslinking and thioether-based dynamic bonds for self-healing.
• 3D printing of modular components, self-healing integration, and combination with liquid metal electronics.

Main Results:

• Elastomer achieves up to 1000% elongation with full self-healing over multiple cycles.
• Demonstrated 3D printing of complex, modular subcomponents with internal channels.
• Fabricated a high-wattage pneumatic switch and a humanoid-scale robotic gripper using the material.

Conclusions:

• The developed self-healing elastomer system facilitates the production of highly complex, support-free soft robot parts.
• This approach represents a paradigm shift in constructing modular soft robotics with enhanced functionality.
• The material's properties enable reprogrammable shapes and integration with self-healing electronics.