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Physical reservoir computing with origami and its application to robotic crawling
1Department of Mechanical Engineering, Clemson University, Clemson, SC, USA. pbhovad@clemson.edu.
Scientific Reports
|June 22, 2021
Summary
Origami structures can act as physical reservoir computers, harnessing their complex dynamics for computation. Optimizing crease patterns and folding designs enhances their power for tasks like soft robotics control.
Area of Science:
- Mechanical Engineering
- Computational Science
- Robotics
Background:
- Physical reservoir computing leverages nonlinear dynamics of physical systems for computation.
- Origami, with its complex folding and high dimensionality, presents a novel platform for this paradigm.
Purpose of the Study:
- To investigate origami structures as physical reservoir computing systems.
- To establish guidelines for optimizing origami-based reservoir computing performance.
- To demonstrate applications in soft robotic control.
Main Methods:
- Extensive simulations using a dynamic truss-frame model.
- Parametric studies on crease distribution and folding designs.
- Case study on earthworm-like peristaltic crawling control.
Main Results:
- Origami structures demonstrate sufficient computing power to emulate nonlinear systems and generate stable limit cycles.
- Linkages between physical design (crease patterns, folding) and computing power were uncovered.
- Successful application to controller-free soft robotic locomotion was shown.
Conclusions:
- Origami-based physical reservoir computing offers a promising approach for embodied mechanical intelligence.
- Design optimization is key to enhancing computational capabilities.
- This work paves the way for novel origami-inspired intelligent systems and robots.
