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Topology and Morphology Design of Spherically Reconfigurable Homogeneous Modular Soft Robots

Caitlin Freeman, Michael Maynard, Vishesh Vikas

2022Soft Robotics15 citationsDOI

Abstract

Imagine a swarm of terrestrial robots that can explore an environment, and, on completion of this task, reconfigure into a spherical ball and roll out. This dimensional change alters the dynamics of locomotion and can assist them in maneuvering variable terrains. The sphere-plane reconfiguration is equivalent to projecting a spherical shell onto a plane, an operation that is not possible without distortions. Fortunately, soft materials have the potential to adapt to this disparity of the Gaussian curvatures. Modular Soft Robots (MSoRos) have promise of achieving dimensional change by exploiting their continuum and deformable nature. However, the design of such soft robots has remained unexplored thus far. Here, for the first time, we present the topology and morphology design of MSoRos that are capable of reconfiguring between spherical and planar configurations. Our approach is based in geometry, where a platonic solid determines the number of modules required for plane-to-sphere reconfiguration and the radius of the resulting sphere, for example, four “tetrahedron-based” or six “cube-based” MSoRos are required for spherical reconfiguration. The methodology involves: (1) inverse orthographic projection of a “module-topology curve” onto the circumscribing sphere to generate the spherical topology ; (2) azimuthal projection of the spherical topology onto a tangent plane at the center of the module resulting in the planar topology ; and (3) adjusting the limb stiffness and curling ability by manipulating the geometry of cavities to realize a physical finite-width, Motor-Tendon Actuated MSoRo that can actuate between the sphere-plane configurations. The topology design is shown to be scale invariant, that is, the scaling of base platonic solid is reflected linearly in spherical and planar topologies. The module-topology curve is optimized for the reconfiguration and locomotion ability using an intramodular distortion metric that quantifies sphere-to-plane distortion. The geometry of the cavity optimizes for the limb stiffness and curling ability without compromising the actuator's structural integrity.

Topics & Concepts

Topology (electrical circuits)Modular designRobotComputer scienceGeometryMathematicsArtificial intelligenceOperating systemCombinatoricsSoft Robotics and ApplicationsMicro and Nano RoboticsModular Robots and Swarm Intelligence
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