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Bioinspired Soft Robot with Incorporated Microelectrodes

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Reprogrammable Metamaterial Processors for Soft Machines.

Zhongdong Jiao¹, Zhenhan Hu¹, Zeyu Dong¹

¹State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|December 31, 2023

Summary

This summary is machine-generated.

Researchers developed printable, recyclable soft metamaterials with embedded intelligence for controlling soft machines. These materials enable complex logic operations and reprogrammable fluidic control, overcoming previous limitations in soft robotics.

Keywords:

metamaterials reprogrammable soft machines soft materials soft robots

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Area of Science:

Materials Science
Robotics
Computational Mechanics

Background:

Soft metamaterials offer unique properties for controlling soft machines.
Current limitations include poor reprogrammability and communication issues between metamaterials.
Integrating intelligence for dynamic control remains a challenge in soft robotics.

Purpose of the Study:

To introduce printable and recyclable soft metamaterials with reprogrammable embedded intelligence.
To enable sophisticated control and morphing behavior in soft machines.
To overcome the limitations of existing soft metamaterial systems.

Main Methods:

Construction of metamaterials from interconnected logic unit cells performing Boolean algebra operations (multiplication and negation).
Development of a universal design route for creating diverse logic operations.
Validation through the construction of a soft latched demultiplexer, customizable morphing controllers, and a reprogrammable processor.

Main Results:

Demonstration of scalable computation capacity for processing multiple fluidic signals.
Successful creation of soft metamaterials capable of complex, reprogrammable logic operations.
Validation of metamaterials as direct fluidic processors for soft machines, enabling advanced control.

Conclusions:

The developed soft metamaterials provide a facile method for creating reprogrammable soft fluidic control systems.
This breakthrough addresses on-demand requirements in dynamic situations for soft machines.
Enables sophisticated, customizable, and reprogrammable morphing programming in soft robotic systems.