Soft magnetic robots have attracted tremendous interest owning to their controllability and manoeuvrability, demonstrating great prospects in a number of industrial areas. However, further explorations on the locomotion and corresponding deformation of magnetic robots with complex configurations are still challenging. In the present study, we analyse a series of soft magnetic robots with various geometric shapes under the action of the magnetic field. First, we prepared the matrix material for the robot, that is, the mixture of silicone and magnetic particles. Next, we fabricated a triangular robot whose locomotion speed and warping speed are approximately 1.5 and 9 mm/s, respectively. We then surveyed the generalised types of robots with other shapes, where the movement, grabbing, closure and flipping behaviours were fully demonstrated. The experiments show that the arching speed and grabbing speed of the cross-shaped robot are around 4.8 and 3.5 mm/s, the crawling speed of the pentagram-shaped robot is 3.5 mm/s, the pentahedron-shaped robot can finish its closure motion in 1 s and the arch-shaped robot can flip forward and backward in 0.5 s. The numerical simulation based on the finite element method has been compared with the experimental results, and they are in excellent agreement. The results are beneficial to engineer soft robots under the multi-fields, which can broaden the eyes on inventing intellectual devices and equipment.
Magnetic field driven robots have a wide spectrum of applications in many areas, such as in biomedical experiment, surgical tools, aerospace and mechanical engineering. In the present study, we make a comprehensive investigation on the deformation and motion of a mesh shaped robot controlled by the magnet. First we have prepared the matrix material of the robot, which is a mixture of silica gel and NdFeB powders. Then the deformation and motion of the robot driven by the magnet are recorded, and the warping and arching configurations are analyzed. The experimental phenomena have been compared with the numerical simulation and theoretical analysis, and the results are in excellent agreement. These findings are beneficial to engineer new types of intelligent robots, as well as to put them in various industrial settings.
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