基于多感知的自主智能机器人体系结构与集成系统

Tianwen Zhao
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引用次数: 0

摘要

随着自主智能机器人应用领域的逐步扩大,其工作环境也将变得复杂多样。自主智能机器人的环境感知系统负责获取机器人的内部状态和外部环境信息,这是机器人决策和规划的基础。通过在自主智能机器人上安装多种传感器,利用信息融合的方法对获取的信息进行融合,得到对环境的一致描述。自主智能机器人体系结构的关键是在精确推理和快速响应之间寻求最佳折衷。随着传感器和计算机技术的发展,基于多传感器信息融合的环境感知研究将会更加深入,取得更多的成果。环境感知、运动控制和交互识别是机器人产业发展的核心技术模块,其中感知是机器人运动和交互识别的前提。通过对目标特征的视觉检测,获得目标相对于参考位置的偏移量,补偿机器人的工作轨迹,解决目标精确定位问题,并通过语音识别技术构建良好的人机交互通道。在外部传感器的支持下,机器人具有不同程度的感知外部环境的能力,并具有一定的环境建模和决策控制能力。感知系统是智能机器人与人及外界环境交互的重要组成部分。本文阐述了进化控制的思想,并将其应用于自主智能机器人的控制结构设计。这种结构使移动机器人具有良好的学习和适应性,响应速度快,具有良好的合理性和完成给定任务的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Architecture and Integrated System of Autonomous Intelligent Robot Based on Multi-perception
With the gradual expansion of the application field of autonomous intelligent robots, their working environment will also be complex and diverse. The environment perception system of autonomous intelligent robot is responsible for obtaining the internal state and external environment information of the robot, which is the basis of robot decision-making and planning. By installing a variety of sensors on the autonomous intelligent robot, and using the information fusion method to fuse the obtained information, a consistent description of the environment is obtained. The key to the architecture of autonomous intelligent robots is to seek the best compromise between precise reasoning and fast response. With the development of sensor and computer technology, the research on environment perception based on multi-sensor information fusion will be more in-depth and more achievements will appear. Environment perception, motion control and interactive recognition are the core technology modules of robot industry development, among which perception is the precondition of robot motion and interactive recognition. Through visual detection of the target features, the offset of the target relative to the reference position can be obtained, and the working trajectory of the robot can be compensated to solve the problem of accurate target positioning, and a good man-machine interaction channel can be constructed through speech recognition technology. Supported by external sensors, the robot has the ability to perceive the external environment to varying degrees, and has certain ability of environment modeling and decision-making control. Perception system is the most important part of the interaction between intelligent robot and human and external environment. This paper expounds the idea of evolutionary control and applies it to the design of the control structure of autonomous intelligent robots. This structure enables the mobile robot to have good learning and adaptability, fast response speed, good rationality and ability to complete a given task.
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