Smart Swimmers

A Santa Clara professor and his team successfully taught microrobots to swim better, potentially opening up huge advancements in health care applications.

The,robot,hurries,to,help.,3d,illustration
“The team is grateful for the funding support from the National Science Foundation and the computational resources at the WAVE High Performance Computing Center at Santa Clara, which have enabled the pursuit of the research,” says Associate Professor On Shun Pak of the $2 million grant his team was awarded in 2019. Image courtesy Shutterstock.

Think of the researchers as swim instructors and the tiny robots as pupils, but these students are learning to streamline complex surgeries rather than how to butterfly. According to Santa Clara associate professor of mechanical engineering On Shun Pak, it is difficult for microrobots to swim. But by using machine learning, his team successfully taught robots complex swimming maneuvers, creating new biomedical surgical opportunities.

Artificial microswimmer robots could open up a new frontier of biomedical applications, including surgery in hard-to-access areas like the brain and delivering medicines exactly where they need to go. The problem? These tiny robots aren’t strong swimmers.

Pak worked with researchers from the New Jersey Institute of Technology and the University of Hong Kong to change that. He says that the physical laws governing fluid motion in the microscopic world make it difficult for microrobots to swim freely.

You see, most artificial microswimmers can only do simple moves that are hard to control. But Pak and the other researchers theorized that, like humans, the microrobots could learn to swim better through reinforcement—basically by telling them “good job.” They combined this reinforcement learning with artificial neural networks that mimic how the human brain operates. Through the machine learning approach, they successfully taught a simple microrobot how to swim and navigate in any possible direction.

“Our research demonstrates machine learning as an alternative avenue towards designing the next generation of smart microswimmers that can navigate complex environments for future biomedical applications,” Pak says.

In Santa Clara style, one of the study’s lead authors was a student. “It has been a truly transformative experience working with Professor Pak and our collaborators to merge knowledge and techniques across different disciplines in this work,” says Zonghao Zou M.S. ’22. “This valuable research experience in my master’s studies is an important stepping stone in pursuing my academic career.”

Swimming Microrobots
Members of the research team pose with a large model of the microswimmer. From left: Elia Döhler ’24, Victor Calata-Gentil ’24, Andrew Torrance ’19, Jonathan Borst ’19. Image by Jim Gensheimer.
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