Development of neuromorphic circuits with receptor cell model for animal-like gait generation using foot pressure

IF 0.8 Q4 ROBOTICS
Katsuyuki Morishita, Akihisa Ishida, Isuke Okuma, Ken Saito
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引用次数: 0

Abstract

The authors are studying to mimic the mechanism of gait generation in animals and implement the mechanism in robots. Previously, the authors developed a quadruped robot system that spontaneously generates gait through feedback on foot pressure. The neuromorphic circuits that mimic the animal's nervous systems control the legs of the quadruped robot. Neuromorphic circuits are analog electronic circuits that output electrical spikes the same as biological neurons. However, quadruped robots system require digital processing by a microcontroller to transmit signals from pressure sensors to the neuromorphic circuit. In addition, a microcontroller drives the servo motors using a pulsewidth modulation waveform. This paper describes a newly developed neuromorphic circuit that does not require the processing of a microcontroller to convert pressure sensor signals. The authors add the receptor cell model and the integral circuit to the conventional neuromorphic circuit. By converting pressure sensor signals with the receptor cell model and the integral circuit, the neuromorphic circuit can be processed similar to a microcontroller. As a simulation and a measurement result, we confirmed that the proposed neuromorphic circuit could implement in a quadruped robot system.

开发带有受体细胞模型的神经形态电路,利用脚压产生类似动物的步态
作者正在研究模仿动物的步态产生机制,并在机器人中实现这一机制。在此之前,作者开发了一种四足机器人系统,它能通过对脚部压力的反馈自发产生步态。模仿动物神经系统的神经形态电路控制着四足机器人的双腿。神经形态电路是一种模拟电子电路,可输出与生物神经元相同的电子尖峰。不过,四足机器人系统需要微控制器进行数字处理,将压力传感器的信号传输到神经形态电路。此外,微控制器还利用脉宽调制波形驱动伺服电机。本文介绍了一种新开发的神经形态电路,它不需要微控制器来处理压力传感器信号的转换。作者在传统的神经形态电路中加入了受体细胞模型和积分电路。通过受体细胞模型和积分电路转换压力传感器信号,神经形态电路的处理过程与微控制器类似。通过模拟和测量结果,我们证实所提出的神经形态电路可以在四足机器人系统中实现。
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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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