Can DNA be used to build robots?
Scientists bridge the gap between macro-scale robotics and the molecular world to build programmable "intelligent" robots at the nanoscale.
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Robotics and DNA nanotechnology converge to create dynamic systems capable of intelligent, adaptable functions. These DNA machines could play pivotal roles in biomedicine, single-molecule analysis, atomic-scale nanofabrication, and DNA-based computing and data storage, pushing the boundaries of what is possible in robotics.
view moreCredit: SmartBot
The Potential of DNA as a Building Block for Nanomachines
Imagine DNA robots traveling through the bloodstream to deliver drugs, targeting specific cells like cancer or viruses. These molecular machines could even build advanced data storage and computing devices with nanometer precision. While these robots hold immense potential, most of them are still in the experimental phase, more proof of concept than practical tool.
In this detailed review, the team breaks down how DNA is being used to create functional machines by using innovative design strategies, from rigid DNA joints and flexible mechanisms to origami-inspired folding units. The scientists explain how classic principles of macro-scale robotics—such as rigid, compliant and origami robots, —are being adapted for the nanoscale, allowing DNA machines to perform reliable tasks.
How to control DNA robots
To make DNA robots "motion", researchers have developed control strategies that enable these machines to behave predictably, even in the chaotic molecular environment. A key focus of the study is how biochemical methods, such as DNA strand displacement, alongside physical stimuli like electric fields, magnetic fields, and light, play a crucial role in directing the precise movement of DNA machines. DNA strand displacement, in particular, allows for the precise programming of these molecular robots using "fuel" and "structure" DNA chains, offering significant potential for controlling their behavior with high accuracy.
Applications Beyond the Lab: Medicine, Manufacturing, and More
The implications for DNA robots go far beyond the laboratory. In precision medicine, DNA robots could act as "nano-surgeons" in the body, identifying, targeting, and delivering therapies to specific cells. These robots could even capture viruses like SARS-CoV-2, and the next logical step would be to develop autonomous drug delivery systems.
In atomic manufacturing, DNA robots could serve as programmable templates, arranging nanoparticles with sub-nanometer precision. This could pave the way for molecular computers and optical devices that are far more efficient than current technology.
Challenges Ahead: Scaling and Integration
However, as the study points out, DNA robots still face significant hurdles. The transition from macroscopic to molecular systems involves overcoming the challenges of Brownian motion and the limitations of scaling. Current designs are often static and isolated, lacking the complexity and functionality needed for broader applications. Additionally, there is still a lack of comprehensive databases on the mechanical properties of DNA structures, and simulation tools for precision remain underdeveloped.
To address these challenges, the team suggests a focus on interdisciplinary innovations. These include developing standardized DNA "parts libraries," integrating AI for dynamic design simulations, and advancing bio-manufacturing techniques. The authors highlight that breakthroughs in manufacturing and design will be crucial for scaling these machines for real-world applications in medicine, manufacturing, and other industries.
"The robots of tomorrow won't just be made of metal and plastic," says the research team. "They will be biological, programmable, and intelligent. They will be the tools that allow us to finally master the molecular world."
Journal
SmartBot
Article Title
Designer DNA-Based Machines
What a flex: Swimming robot propelled by lab-grown muscle hits record speed
NUS scientists have developed a self-training method that strengthens lab-grown muscle tissues around the clock, and used them to power a living-muscle robot that swims faster than any of its predecessors
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Assistant Professor Tan Yu Jun (right), PhD student Mr Zhou Jinrun (left), and their team from the National University of Singapore established a simple but ingenious method that produced lab-grown muscles with unparalleled strength. These muscles were incorporated into a biohybrid robot that demonstrated the fastest swimming performance reported to date.
view moreCredit: National University of Singapore
Singapore, 19 March 2026 — Researchers at the National University of Singapore (NUS) have developed a platform that lets lab-grown muscle tissues train themselves to record-breaking strength, with no external stimulation required. By mechanically coupling two muscle tissues so they continuously pull against each other, their own natural contractions become a round-the-clock workout. The resulting muscles powered OstraBot, an ostraciiform (a type of fish locomotion) swimming robot that reached 467 millimetres per minute — the fastest speed reported for any skeletal muscle-driven biohybrid robot.
The advance removes a long-standing bottleneck in biohybrid robotics — machines driven by living cells rather than conventional motors. Because muscle-based actuators are soft, quiet and efficient at small scales, stronger versions could unlock minimally invasive biomedical tools, soft environmental sensors and fully biodegradable robots that safely degrade after completing their task.
“For years, researchers have been interested in building robots powered by living muscle because biological actuation is soft, adaptive and energy-efficient at small scales. However, the performance of these systems has been limited by the low force output of cultured skeletal muscle. If the actuator is weak, the robot cannot move fast, generate meaningful thrust, or perform useful tasks,” said Assistant Professor Tan Yu Jun from the Department of Mechanical Engineering in the College of Design and Engineering at NUS, who led the research.
“The purpose of this study was not just to build a faster robot, but to remove a fundamental bottleneck in the field and open the door to high-performance biohybrid systems designed with sustainability in mind,” Asst Prof Tan added.
The study was published in Nature Communications on 18 March 2026. In December 2025, the first author of the paper, Dr Chen Pengyu, won the Best Poster Award based on this study at the Materials Research Society (MRS) Fall Meeting 2025, one of the largest international conferences for materials science research.
Two muscles in an arm-wrestling match
The key insight came from a behaviour that biologists have long observed but rarely exploited: the spontaneous contractions that young skeletal muscle cells produce as they mature. Starting around day three of differentiation, engineered tissues begin twitching on their own, peaking by day five before fading as the cells reach full maturity. Although most researchers had treated this as a biological curiosity, the NUS team treated it as a training resource.
They designed a platform in which two muscle tissues are coupled through a sliding block, so that when one contracts, it stretches the other, which then contracts back. The result is continuous cycles of shortening and lengthening that run autonomously throughout the week of early maturation, with no external power source, control unit or manual intervention.
“As the cells mature, they naturally begin to contract spontaneously. Because the two tissues are connected, they continuously pull against each other, effectively exercising without any external control,” explained Asst Prof Tan.
The self-trained muscles generated a maximum force of 7.05 millinewtons and a stress of 8.51 millinewtons per square millimetre — the highest values recorded for this cell line in biohybrid robotics, and more than an order of magnitude above many previously reported figures. The method uses a commercially available muscle cell line found in labs worldwide, making it far more reproducible and cheaper than conventional approaches.
Optimising OstraBot to achieve personal bests
The team developed a physiology-based model tracing the full chain from electrical stimulation through calcium signalling and muscle activation to force output, then used it to guide OstraBot’s design. Inspired by the boxfish, which keeps its body rigid and propels itself entirely by oscillating its tail, OstraBot pairs this model-informed structure with a single trained muscle that drives two flexible tails. At optimal stiffness and 3 Hz stimulation, it swam more than three times faster than an identical robot powered by conventionally cultured muscle.
Beyond speed, the robot demonstrated something equally significant: precise controllability. Its speed could be tuned continuously by adjusting electrical field strength, and a sound-triggered system let it start and stop in response to clapping signals.
“The clap shows that the robot is not just alive — it is controllable. In the past, muscle-powered robots either moved constantly without clear control or were too weak to respond visibly. Our strengthened skeletal muscle allows the robot to react clearly to an external signal, similar to how nerves control muscles in the body,” said Asst Prof Tan. “This demonstrates that biohybrid robots can combine strength with precise regulation, which is essential for real-world applications.”
Robots with a vanishing act
The NUS team is now pursuing systems in which all structural materials are biodegradable — robots that perform their function and then safely break down. Possible applications include environmental monitoring devices deployed in sensitive ecosystems such as wetlands or coral reefs, as well as temporary implantable tools that perform a clinical task before dissolving inside the body, eliminating the need for surgical retrieval.
“Strength is one important milestone, but long-term stability, energy efficiency and lifecycle design are equally important,” said Asst Prof Tan. “Ultimately, we aim to develop biohybrid machines that are not only high-performance but also environmentally responsible by design.”
The team's next steps include integrating biodegradable structural materials, refining control strategies and improving the durability and efficiency of muscle-powered robotic systems.
Journal
Nature Communications
Method of Research
Experimental study
Subject of Research
Cells
Article Title
Fast-swimming biohybrid OstraBot with self-trained high-strength muscles
Article Publication Date
18-Mar-2026
Inspired by arm-wrestling, the team from the National University of Singapore built a self-training platform (left) where two rings of muscle tissues continuously and autonomously pull against each other. OstraBot (right), made from a single trained ring of muscle and two flexible tails, swims 3 times faster than counterparts with conventionally cultured muscle.
The breakthrough achieved by researchers from the National University of Singapore confirmed that lab-grown muscles can indeed be used to power robots. This is a big leap towards the creation of fully biodegradable robots, which will have diverse applications from environmental monitoring to medical science.
Credit
National University of Singapore
National University of Singapore
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