University of California, San Diego (UCSD) roboticists have developed a low-cost system to track the location of flexible surgical robots operating inside the human body.
UCSD's Tania Morimoto and Connor Watson embedded a magnet in the tip of a soft "growing" robot made of a thin nylon that is inverted and pressurized with fluid, ensuring that the device has little impact on its surroundings.
The researchers then used global positioning system-like magnet localization techniques to create a computer model that anticipates the robot's location, employing sensors carefully spaced around the area in which the device operates to measure magnetic field strength.
Morimoto and Watson also trained a neural network to improve location accuracy by comparing actual sensor readings with the model's predicted readings.
From UC San Diego News Center
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