System ITAE Optimization for Muscle-Nerve Cooperative Quadruped Robot

Shaoqing Dai, Depeng Kong, Jiu-sheng Li, Weisi Gu, Dehui Kong, Xinyue Chen
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引用次数: 0

Abstract

Quadruped robot has been people’s love and favor, as the calculation progress and functional, has been in the life, work, scientific research and military and so on have important research value, the robot to neuromuscular coordination of collaborative optimization as the objective, from the theory deduction, structure design and trajectory simulation and performance comparison in this paper. Purpose is to use the quadruped robot cooperation principle applied in equipment, accurate positioning and small deviation recognition makes full use of IATE robustness optimization and intelligent control mechanism, is used to identify the signal capture, speed, position, explore the problems of the modeling and mathematical analysis, at the same time get more detailed data results more help for the disabled and innovative applications, etc for a robot to have important research value.
肌肉-神经协同四足机器人系统ITAE优化
四足机器人一直受到人们的喜爱和青睐,随着计算的进步和功能的完善,已经在生活、工作、科学研究和军事等方面具有重要的研究价值,该机器人以神经肌肉协调协同优化为目标,从理论推导、结构设计和轨迹仿真以及性能比较等方面进行了研究。目的是利用四足机器人协作原理应用于设备中,准确定位和小偏差识别充分利用IATE鲁棒性优化和智能控制机制,用于识别信号捕获、速度、位置,探索问题的建模和数学分析,同时获得更详细的数据结果,更有助于残疾人和机器人的创新应用等,对机器人具有重要的研究价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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