Snake-inspired robot uses kirigami for swifter slithering

Bad news for ophiophobes: Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a new and improved snake-inspired soft robot that is faster and more precise than its predecessor.

The robot is made using kirigami — a Japanese paper craft that relies on cuts to change the properties of a material. As the robot stretches, the kirigami surface “pops up” into a 3-D-textured surface, which grips the ground just like snake skin.

The first-generation robot used a flat kirigami sheet, which transformed uniformly when stretched. The new robot has a programmable shell, so the kirigami cuts can pop up as desired, improving the robot’s speed and accuracy.

The research was published in the Proceedings of the National Academy of Sciences.

“This is a first example of a kirigami structure with non-uniform pop-up deformations,” said Ahmad Rafsanjani, a postdoctoral fellow at SEAS and first author of the paper. “In flat kirigami, the pop-up is continuous, meaning everything pops at once. But in the kirigami shell, pop up is discontinuous. This kind of control of the shape transformation could be used to design responsive surfaces and smart skins with on-demand changes in their texture and morphology.”

The new research combined two properties of the material — the size of the cuts and the curvature of the sheet. By controlling these features, the researchers were able to program dynamic propagation of pop ups from one end to another, or control localized pop-ups.

Snake-inspired robot slithers even better than predecessor

This programmable kirigami metamaterial enables responsive surfaces and smart skins. Source: Harvard SEAS

In previous research, a flat kirigami sheet was wrapped around an elastomer actuator. In this research, the kirigami surface is rolled into a cylinder, with an actuator applying force at two ends. If the cuts are a consistent size, the deformation propagates from one end of the cylinder to the other. However, if the size of the cuts are chosen carefully, the skin can be programmed to deform at desired sequences.

“By borrowing ideas from phase-transforming materials and applying them to kirigami-inspired architected materials, we demonstrated that both popped and unpopped phases can coexists at the same time on the cylinder,” said Katia Bertoldi, the William and Ami Kuan Danoff Professor of Applied Mechanics at SEAS and senior author of the paper. “By simply combining cuts and curvature, we can program remarkably different behavior.”

Related content: 10 biggest challenges in robotics

Next, the researchers aim to develop an inverse design model for more complex deformations.

“The idea is, if you know how you’d like the skin to transform, you can just cut, roll, and go,” said Lishuai Jin, a graduate student at SEAS and co-author of the article.

This research was supported in part by the National Science Foundation. It was co-authored by Bolei Deng.

Editor’s note: This article was republished from the Harvard John A. Paulson School of Engineering and Applied Sciences.

Robotic catheter brings autonomous navigation into human body

 

Robotic catheter brings autonomous navigation into the human body

Concentric tube robot. In a recent demo, robotic catheter autonomously found its way to a leaky heart valve. Source: Pediatric Cardiac Bioengineering Lab, Department of Cardiovascular Surgery, Boston Children’s Hospital, Harvard Medical School

BOSTON — Bioengineers at Boston Children’s Hospital said they successfully demonstrated for the first time a robot able to navigate autonomously inside the body. In a live pig, the team programmed a robotic catheter to find its way along the walls of a beating, blood-filled heart to a leaky valve — without a surgeon’s guidance. They reported their work today in Science Robotics.

Surgeons have used robots operated by joysticks for more than a decade, and teams have shown that tiny robots can be steered through the body by external forces such as magnetism. However, senior investigator Pierre Dupont, Ph.D., chief of Pediatric Cardiac Bioengineering at Boston Children’s, said that to his knowledge, this is the first report of the equivalent of a self-driving car navigating to a desired destination inside the body.

Pierre Dupont

Pierre Dupont, chief of Pediatric Cardiac Bioengieering at Boston Children’s Hospital

Dupont said he envisions autonomous robots assisting surgeons in complex operations, reducing fatigue and freeing surgeons to focus on the most difficult maneuvers, improving outcomes.

“The right way to think about this is through the analogy of a fighter pilot and a fighter plane,” he said. “The fighter plane takes on the routine tasks like flying the plane, so the pilot can focus on the higher-level tasks of the mission.”

Touch-guided vision, informed by AI

The team’s robotic catheter navigated using an optical touch sensor developed in Dupont’s lab, informed by a map of the cardiac anatomy and preoperative scans. The touch sensor uses artificial intelligence and image processing algorithms to enable the catheter to figure out where it is in the heart and where it needs to go.

For the demo, the team performed a highly technically demanding procedure known as paravalvular aortic leak closure, which repairs replacement heart valves that have begun leaking around the edges. (The team constructed its own valves for the experiments.) Once the robotic catheter reached the leak location, an experienced cardiac surgeon took control and inserted a plug to close the leak.

In repeated trials, the robotic catheter successfully navigated to heart valve leaks in roughly the same amount of time as the surgeon (using either a hand tool or a joystick-controlled robot).

Biologically inspired navigation

Through a navigational technique called “wall following,” the robotic catheter’s optical touch sensor sampled its environment at regular intervals, in much the way insects’ antennae or the whiskers of rodents sample their surroundings to build mental maps of unfamiliar, dark environments. The sensor told the catheter whether it was touching blood, the heart wall or a valve (through images from a tip-mounted camera) and how hard it was pressing (to keep it from damaging the beating heart).

Data from preoperative imaging and machine learning algorithms helped the catheter interpret visual features. In this way, the robotic catheter advanced by itself from the base of the heart, along the wall of the left ventricle and around the leaky valve until it reached the location of the leak.

“The algorithms help the catheter figure out what type of tissue it’s touching, where it is in the heart, and how it should choose its next motion to get where we want it to go,” Dupont explained.

Though the autonomous robot took a bit longer than the surgeon to reach the leaky valve, its wall-following technique meant that it took the longest path.

“The navigation time was statistically equivalent for all, which we think is pretty impressive given that you’re inside the blood-filled beating heart and trying to reach a millimeter-scale target on a specific valve,” said Dupont.

He added that the robot’s ability to visualize and sense its environment could eliminate the need for fluoroscopic imaging, which is typically used in this operation and exposes patients to ionizing radiation.

Robot ercutaneous access to the heart, from Pediatric Cardiac Bioengineering Lab

Robotic catheter enters internal jugular vein and navigates through the vasculature into the right atrium. Source: Pediatric Cardiac Bioengineering Lab

A vision of the future?

Dupont said the project was the most challenging of his career. While the cardiac surgical fellow, who performed the operations on swine, was able to relax while the robot found the valve leaks, the project was taxing for Dupont’s engineering fellows, who sometimes had to reprogram the robot mid-operation as they perfected the technology.

“I remember times when the engineers on our team walked out of the OR completely exhausted, but we managed to pull it off,” said Dupont. “Now that we’ve demonstrated autonomous navigation, much more is possible.”

Some cardiac interventionalists who are aware of Dupont’s work envision using robots for more than navigation, performing routine heart-mapping tasks, for example. Some envision this technology providing guidance during particularly difficult or unusual cases or assisting in operations in parts of the world that lack highly experienced surgeons.

As the U.S. Food and Drug Administration begins to develop a regulatory framework for AI-enabled devices, Dupont said that autonomous surgical robots all over the world could pool their data to continuously improve performance over time — much like self-driving vehicles in the field send their data back to Tesla to refine its algorithms.

“This would not only level the playing field, it would raise it,” said Dupont. “Every clinician in the world would be operating at a level of skill and experience equivalent to the best in their field. This has always been the promise of medical robots. Autonomy may be what gets us there.”

Boston Children's Hospital

Boston Children’s Hospital in the Longwood Medical Area. Photo by Jenna Lang.

About the paper

Georgios Fagogenis, PhD, of Boston Children’s Hospital was first author on the paper. Coauthors were Margherita Mencattelli, PhD, Zurab Machaidze, MD, Karl Price, MaSC, Viktoria Weixler, MD, Mossab Saeed, MB, BS, and John Mayer, MD of Boston Children’s Hospital; Benoit Rosa, PhD, of ICube, Universite? de Strasbourg (Strasbourg, France); and Fei-Yi Wu, MD, of Taipei Veterans General Hospital, Taipei, Taiwan. For more on the technology, contact TIDO@childrenshospital.org.

The study was funded by the National Institutes of Health (R01HL124020), with partial support from the ANR/Investissement d’avenir program. Dupont and several of his coauthors are inventors on U.S. patent application held by Boston Children’s Hospital that covers the optical imaging technique.

About Boston Children’s Hospital

Boston Children’s Hospital, the primary pediatric teaching affiliate of Harvard Medical School, said it is home to the world’s largest research enterprise based at a pediatric medical center. Its discoveries have benefited both children and adults since 1869. Today, more than 3,000 scientists, including 8 members of the National Academy of Sciences, 18 members of the National Academy of Medicine and 12 Howard Hughes Medical Investigators comprise Boston Children’s research community.

Founded as a 20-bed hospital for children, Boston Children’s is now a 415-bed comprehensive center for pediatric and adolescent health care. For more, visit the Vector and Thriving blogs and follow it on social media @BostonChildrens@BCH_Innovation, Facebook and YouTube.