具有自学习能力的多连杆步行机器人智能控制算法

V. Danilov, S. Diane, Vladimir Gonchareko, Alexander Artamonov
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引用次数: 1

摘要

考虑了行走机器人的主要结构类型,并对六足昆虫仿生机器人实现布局设计的选择进行了论证。在分析现有步行系统设计方法和选定机器人类型的基础上,给出了机器人关节正运动学和反运动学问题的求解方法。对六足步行机器人的运动学和动力学模型进行了计算和编程实现。构建了六足步行机器人的计算机仿真模型,该模型结合了机器人的三维表示及其运动动力学。提出了多连杆结构控制算法的调整步骤,以适应机器人结构和周围环境的不确定性。在步行机器人的虚拟和硬件样本上对所提出的数学模型进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities
The main types of structures of walking robots are considered and the choice of the design of the implemented layout of a six-legged insectomorphic robot is justified. Based on the results of the analysis of known approaches to the design of walking systems and the selected type of robot, solutions of forward and reverse kinematics problems for its joints are described. Kinematic and dynamic models of a six-legged walking robot are calculated and implemented programmatically. A computer simulation model of a six-legged walking robot is constructed that combines a 3d representation of the robot and the dynamics of its movement. The procedure for adjusting the control algorithms for a multilink structure is suggested to adapt for the uncertainties in the robot construction and the surrounding environment. Verification of the proposed mathematical models was carried out on virtual and hardware samples of walking robots.
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