Fig. 1: Design concept of 2D reprogrammable gate meta-array and 3D reprogrammable logic cube. | Nature Communications

Fig. 1: Design concept of 2D reprogrammable gate meta-array and 3D reprogrammable logic cube.

From: Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics

Fig. 1: Design concept of 2D reprogrammable gate meta-array and 3D reprogrammable logic cube.

a Reconfiguration of traditional FPGA/DPGA through modifications in wiring connection patterns. In array A, logic gates 1, 2, 4, 6, and 8 are connected to form a logical expression, while in array B, logic gates 1, 3, 4, 5, and 8 are connected to form a logical expression. The following equation represents the maximum computational power density achievable by FPGA/DPGA. n represents the number of operation inputs through I-level logic gates in the array. b Reconfiguration of the designed 2D fixed-wiring reprogrammable gate meta-array (our work) composed of reconfigurable logic gates. The following equation represents its maximum computational power density. c 3D reprogrammable logic cube and its logic reconfiguration method (our work). Blue and red unit-cells represent the basic elements, such as Buffer/NOT, as shown in (b). The following equation indicates its maximum computational power density. Where s equals 2, i.e., two origami switching elements. And p equals 4, that is, the number of corner/edge blocks. d The schematic of an embodied autonomous robotic system for path planning and three functional parts.

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