General-purpose mechanical computing enabled by origami circuit reconfiguration with robotic addressing and...

Area of Science:

• Materials Science
• Computer Engineering
• Robotics

Background:

• Natural systems inspire mechanical computing for environmental perception and autonomous decisions.
• General-purpose mechanical computing faces challenges in balancing programmability and scalability.
• Existing architectures struggle to integrate dynamic reconfiguration for complex tasks.

Purpose of the Study:

• To present a scalable mechanical programmable gate array architecture for general-purpose computing.
• To overcome the programmability-scalability trade-off in mechanical computing.
• To enable decision-making materials for edge computing and robotics.

Main Methods:

• Developed bistable origami switch-based logic units mapped to Quine-McCluskey logic functions.
• Integrated conductive networks to create stable, low-redundancy logic modules.
• Employed a robotic activation mechanism guided by magnetic instructions for dynamic array configuration.

Main Results:

• Demonstrated a scalable architecture with complete programmability and dynamic reconfiguration.
• Achieved high stability and low redundancy in logic modules.
• Integrated storage units for iterative processes and function reuse.

Conclusions:

• The mechanical programmable gate array offers a foundation for decision-making materials.
• The architecture supports applications in distributed edge computing and embodied intelligent robotics.
• This approach advances the development of adaptable and intelligent mechanical systems.