摘要
结合通信技术最新发展,将机器人中的复杂控制程序移到云中,基于WiFi设计的一种云机器人系统,可以简化机器人的设计,提高机器人的反应能力,并可用于构建大规模机器人群组。针对该系统设计了基于模糊神经网络的蚁群优化算法,通过SAAS模式向云机器人提供路径规划服务,提高了机器人的路径选择精确度与环境适应性。通过实验验证,设计安全可靠,本方案是有效可行的,符合智能化机器人的发展方向,具有较好的应用及推广价值。
Combining the latest development of communication technology,the complex control program of robots moves to the Cloud,and designs a Cloud-Robot system basing on WiFi. This design can simplify the software design of the robot,improve the flexibility and agility of the robot,and it can be used to build large-scale robot group. Based on fuzzy neural network ACO（ The Ant Colony Optimization Algorithm for Fuzzy Neural Network） is used through the SAAS model of the algorithm to robot path planning service,to improve the path selection accuracy and adaptability to the environment of the robot. Through the experiment,the design is safe and reliable,effective and feasible,which conforms to the developing direction of intelligent robot,and has good application and popularization value.
出处
《电子器件》
CAS
北大核心
2014年第2期367-372,共6页
Chinese Journal of Electron Devices
基金
江苏省精密制造工程技术研究开发中心开放基金项目(401050611ZK401)
