文章基本信息

标题：Maneuverable Autonomy of a Six-legged Walking Robot: Design and Implementation using Deep Neural Networks and Hexapod Locomotion
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作者：Hiep Xuan Huynh ; Nghia Duong-Trung ; Tran Nam Quoc Nguyen 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：6
页码：830
DOI：10.14569/IJACSA.2021.0120697
出版社：Science and Information Society (SAI)
摘要：Automatically real-time synthesizing behaviors for a six-legged walking robot pose several exciting challenges, which can be categorized into mechanics design, control software, and the combination of both. Due to the complexity of control-ling and automation, numerous studies choose to gear their attention to a specific aspect of the whole challenge by either proposing valid and low-power assumption of mechanical parts or implementing software solutions upon sensorial capabilities and camera. Therefore, a complete solution associating both mechanical moving parts, hardware components, and software encouraging generalization should be adequately addressed. The architecture proposed in this article orchestrates (i) interlocutor face detection and recognition utilizing ensemble learning and convolutional neural networks, (ii) maneuverable automation of six-legged robot via hexapod locomotion, and (iii) deployment on a Raspberry Pi, that has not been previously reported in the literature. Not satisfying there, the authors even develop one step further by enabling real-time operation. We believe that our contributions ignite multi-research disciplines ranging from IoT, computer vision, machine learning, and robot autonomy.
关键词：Six-legged walking robot; hexapod locomotion; Raspberry Pi; deep neural networks