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Updated: Aug 8, 2026

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Designing a Bio-responsive Robot from DNA Origami
Published on: July 8, 2013
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Spring-loaded DNA origami arrays as energy-supplied hardware for modular nanorobots
Martina Pfeiffer1, Fiona Cole1, Dongfang Wang2,3
1Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13, 81377 München, Germany.
Science Robotics
|October 22, 2025
Summary
Researchers developed reconfigurable DNA origami arrays, enabling nanorobots to process multiple stimuli and perform complex, programmed tasks. This breakthrough advances DNA origami nanorobots for diverse technological applications.
Area of Science:
- Biotechnology
- Nanotechnology
- Molecular Engineering
Background:
- DNA origami nanorobots are programmable machines that respond to stimuli via conformational changes.
- Current designs are limited to single stimulus-output responses, hindering complex applications.
- Expanding nanorobot functionality requires overcoming the limitations of two-state systems.
Purpose of the Study:
- To overcome the limitations of single stimulus-output responses in DNA origami nanorobots.
- To introduce a universal design strategy for advanced nanorobot functionality.
- To enable nanorobots to process multiple stimuli and execute complex operations.
Main Methods:
- Developed reconfigurable DNA origami arrays.
- Integrated multiple operational units into coupled two-state systems.
- Implemented multilevel Boolean logic for stimulus processing.
Main Results:
- Demonstrated the ability to process multiple stimuli.
- Achieved computation of responses using multilevel Boolean logic.
- Enabled execution of operations with controlled order, timing, and spatial positioning.
Conclusions:
- Reconfigurable DNA origami arrays offer a universal design strategy for advanced nanorobots.
- This approach overcomes limitations of two-state systems, enabling complex stimulus-response behaviors.
- The strategy is expected to drive further development of DNA origami nanorobots for various technological fields.

