Raising the Bar on Precision
Photo credits: Justin Opfermann
Surgeons are trained to be precise and effective. Their work demands that they stay alert and perform to the best of their ability. After all, lives may be at stake. But what if they had some help? The kind of help that is reliable and consistent. What if they could use a robot to do the incisions and suturing while they monitored the activity?
Enter the Smart Tissue Autonomous Robot, or STAR, which has performed better at cutting soft tissue and stitching it up than experienced surgeons, who deviated more from the ideal cut line and caused more char.
“The STAR is really good at doing repetitive procedures that require a lot of precision,” says Axel Krieger, an assistant professor of mechanical engineering at the University of Maryland. “If you miss one suture, for example, that may create a leak and cause problems. The STAR can prevent this from happening because it can perform this task precisely and without errors each and every time.”
A few years ago, the STAR proved it could do better than experienced surgeons at stitching together two segments of pig intestine. The stitches were more regular and leak-resistant. The STAR not only has tools for suturing, but also for fluorescent and 3D imaging, force sensing, and submillimeter positioning. It also has demonstrated that it can make precise cuts in irregular soft tissue.
The STAR visually tracks its cutting path and cutting tool while adjusting to movement. Using its near-infrared camera, it follows tiny marks placed on the tissue beforehand to keep on track during cutting.
In the paper, “Semi-Autonomous Electrosurgery for Tumor Resection Using a Multi-Degree of Freedom Electrosurgical Tool and Visual Servoing” (published last year by the Institute of Electrical and Electronics Engineers), Krieger and other researchers describe the design and integration of a novel, multi-degree of freedom electrosurgical tool for the STAR. They explain how they conducted standardized line tests to determine ideal cut parameters in three different types of porcine tissue.
The researchers programmed the STAR with the ideal cut setting for porcine tissue and compared the robot against expert surgeons using open and laparoscopic techniques in a line cutting task. They then performed a proof of concept demonstration using the STAR to semi-autonomously resect pseudo-tumors in porcine tissue using visual servoing. When tasked to excise tumors with a consistent 4 millimeter margin, they found that the STAR can semi-autonomously dissect tissue with an average margin of 3.67 millimeters and a standard deviation of 0.89 millimeters.
“We still have a long way to go,” says Krieger. “Currently we get feedback from a surgeon for every procedure we do. We hope that as we get better and more robust we’ll need less and less feedback.”
Krieger says he can even imagine a scenario where a robot is sent out on a battlefield to perform trauma surgery. “That’s what we’re working on now in our lab,” he says. “The idea is to move closer and closer towards autonomy with a variety of tasks.”
Regli is co-PI for ARM functional interoperable compiler project
Student autonomous robotics competition slated for June 2019
It takes a swarm: These robots talk to each other, make decisions as a group
Maryland Robotics Center sponsors grad student project on robotics in farming
These are tiny robots. And they are awesome.
Shneiderman to speak at Arena Civil Dialogue, Aug. 12
GapFlyt helps aerial robots navigate more like birds and insects
New affiliate faculty Mark Fuge is expert in machine learning and artificial intelligence
Why a robot can't yet outjump a flea
Maryland researchers awarded DARPA cooperative agreement to develop robotic swarm strategies
April 3, 2018