Organisms can act autonomously because biological neural networks process the environmental information in continuous time. Therefore, organisms have inspired many applications of autonomous control to small-size robots. The authors are studying a small-size robot controlling without software programs using hardware neural networks (HNN). Two types of a robot, the quadruped-robot and the hexapod-robot, have proposed such as research results of the project. The quadruped-robot system is 130 mm wide, 140 mm long, 100 mm high. The hexapod-robot system is 4.0 mm wide, 4.0 mm long, and 5.0 mm high. The current paper shows the mechanical features of the small-size robots. Also, the authors describe the basic characteristics of HNNs that generate the gait for small-size robots. The pulses emitted by the HNN create oscillating patterns of electrical activity. The basic components (pulse-type hardware neuron model) of the HNN has the features of a class II neuron model, which behaves like a resonator. Thus, gait generation by the HNNs mimics the synchronization phenomena in biological neural networks. Consequently, our constructed HNNs can generate small-size robot gaits without requiring software programs.
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