Abstract
Soft materials are driving the development of a new generation of robots that are intelligent, versatile, and adept at overcoming uncertainties in their everyday operation. The resulting soft robots are compliant and deform readily to change shape. In contrast to rigid-bodied robots, the shape of soft robots cannot be described easily. A numerical description is needed to enable the understanding of key features of shape and how they change as the soft body deforms. It can also quantify similarity between shapes. In this article, we use a method based on elliptic Fourier descriptors to describe soft deformable morphologies. We perform eigenshape analysis on the descriptors to extract key features that change during the motion of soft robots, showing the first analysis of this type on dynamic systems. We apply the method to both biological and soft robotic systems, which include the movement of a passive tentacle, the crawling movement of two species of caterpillar (Manduca sexta and Sphacelodes sp.), the motion of body segments in the M. sexta, and a comparison of the motion of a soft robot with that of a microorganism (euglenoid, Eutreptiella sp.). In the case of the tentacle, we show that the method captures differences in movement in varied media. In the caterpillars, the method illuminates a prominent feature of crawling, the extension of the terminal proleg. In the comparison between the robot and euglenoids, our method quantifies the similarity in shape to ∼85%. Furthermore, we present a possible method of extending the analysis to three-dimensional shapes.
Highlights
Soft materials are inspiring a new generation of intelligent, versatile, and adaptive robots capable of handling unexpected interactions in uncertain environments.[1]
We look at the crawling locomotion of two different species of caterpillar, the Manduca sexta and the Sphacelodes sp. followed by a study on the shapes of individual segments in the M. sexta, whose movements have been used to inspire several nonpneumatic soft robots.[18]
These results demonstrate the ability of the elliptic Fourier descriptors to describe the shape of an unpredictable, deformable soft robot to an arbitrary degree of precision
Summary
Soft materials are inspiring a new generation of intelligent, versatile, and adaptive robots capable of handling unexpected interactions in uncertain environments.[1] The nature of these materials is such that they exhibit large deformations under the loads that they typically encounter.[2] As a result, the robots fabricated out of these materials are compliant and readily change shape. The pursuit of such soft robots is driven by scientific endeavors to mimic a biological organism,[3] to operate safely for human assistance,[4] to harvest energy,[5] or to impart intelligence to a robot’s body.[6] In these applications, elastic and nonlinear properties of soft materials are exploited to implement mechanisms that vary by body shape and stiffness.[7]. This description could be used to optimize locomotion of a soft robot,[9] actively deform a compliant object through visual inspection,[10] or in the case of morphological computation, be used to represent the intelligence inherent to the body of a robot.[11]
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