Development of quadruped robot system mounting integrated circuits of pulse-type hardware neuron models for gait generation

IF 0.8 Q4 ROBOTICS
Akihisa Ishida, Isuke Okuma, Katsuyuki Morishita, Ken Saito
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Abstract

The authors have been studying robots equipped with pulse-type hardware neuron models (P-HNMs) that mimic biological neurons. In a previous study, we developed a quadruped robot system mounting P-HNMs. The authors confirmed the generation of animal-like gait that transitions gait in response to the speed of movement. However, significant circuit variations occurred between the circuit boards of the P-HNMs because the discrete elements had been soldered to the circuit board by hand. Therefore, the circuit characteristics have to adjust using variable resistance for each experiment. In this paper, the authors developed an integrated circuit of P-HNMs to reduce the circuit variation. Also, we mounted the integrated circuits of P-HNMs on a quadruped robot system. As a result, we confirmed that an integrated circuit of P-HNMs does not require any adjustments to actuate the robot system. Also, the author established that the proposed quadruped robot system generates a gait like the “Walk” and the “Trot” of quadruped animals through the walking experiments. The generated gaits are three to seven times longer than the previous robot system.

Abstract Image

开发安装脉冲型硬件神经元模型集成电路的四足机器人系统,用于生成步态
作者一直在研究配备脉冲型硬件神经元模型(P-HNMs)的机器人,该模型可模仿生物神经元。在之前的一项研究中,我们开发了一个安装 P-HNM 的四足机器人系统。作者证实,该系统可产生类似动物的步态,根据运动速度转换步态。然而,由于分立元件是手工焊接到电路板上的,因此 P-HNM 的电路板之间存在明显的电路差异。因此,每次实验都必须使用可变电阻来调整电路特性。在本文中,作者开发了 P-HNM 集成电路,以减少电路变化。此外,我们还将 P-HNM 集成电路安装在四足机器人系统上。结果,我们证实 P-HNM 集成电路无需任何调整即可驱动机器人系统。此外,作者还通过行走实验证实,所提议的四足机器人系统能产生类似四足动物 "Walk "和 "Trot "的步态。生成的步态比以前的机器人系统长三到七倍。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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