智能服务机器人软件系统设计
[Abstract]:Since the birth of robots, industrial robots have been spared a large number of manual repetitive operations. However, the current industrial robots can only work in a fixed working environment, and their direct help to ordinary people in their daily lives is far less than the general public's fanatical fantasies about robots. With the development of industrial technology, industrial robots have been widely used in manufacturing industry, especially in welding and assembly lines, which are used as a substitute for repeated labor. Furthermore, the current robot technology is far from competent to cooperate with humans to accomplish tasks in the same environment. On the other hand, with the aging of population structure and the popularity of electronic life among the general public, the desire of ordinary users to service robots into our daily life is becoming stronger and stronger. The current service robot can not enter ordinary people's life because of its own two obstacles. The first is the communication obstacle between human and robot. The second is that the robot's adaptability to complex and changeable environment can not meet the requirements of application. In order to solve these two problems, robot researchers mainly improve the applicability of robots in general social life from the aspects of software and hardware. By improving the level of software design and the perception ability of the robot, the technical threshold of human-robot dialogue is lowered, the adaptability of the robot to complex environment is improved, and the execution ability of multi-level and multi-priority tasks is enhanced. Give the robot intelligence. At the same time, develop and design a more delicate and flexible mechanical motion mechanism and sensors to expand the mobile space of the robot. In this paper, aiming at the shortage of software design board and intelligence of robot, firstly, from the angle of artificial intelligence and the cultural background of robot, the functional localization of service robot is expounded. Four paradigms of artificial intelligence robot design in the past 40 years are summarized: hierarchical paradigm, response paradigm, mixed paradigm, and learning paradigm. On this basis, this paper introduces an example of constructing an intelligent robot RobWen behavior control program framework. Through the design of robot behavior pattern under this framework, the robot can adapt to the simple office and campus working environment. Perform complex structure tasks and respond flexibly to changes in external state. The robot program framework includes a planner-centric perceptron, an actuator, a cognitive module, and a memory module. The software architecture of this robot is based on the distributed robot API:Player robot development platform. In the Player distributed architecture, the tasks of the robot are implemented by concurrent execution. Each unit of the robot can simultaneously complete its own tasks independently in the form of threads, and the message passing and cooperation of cross-task can be accomplished by messages between threads. At the end of this paper, a task execution example of robot on Stage simulation platform is provided. The simulation results show that it is feasible to construct a distributed parallel operating robot software architecture based on the data read and write frequency of the system.
【学位授予单位】:东北大学
【学位级别】:硕士
【学位授予年份】:2011
【分类号】:TP242
【共引文献】
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2 范新刚;彭湘凯;;基于感知行动的一种双向规划算法研究[J];广东技术师范学院学报;2013年03期
3 王日凤;陈刚;蓝红莉;;简化四宫格问题求解的认知仿真分析[J];广西科技大学学报;2015年01期
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