With the rapid development of China's science and technology industry , the rapid development of science and technology industry , machinery automation , computer control system and the continuous development of the measurement industry , making the research of mobile robot has reached an unprecedented level , the robot has been widely used in ag-ricultural production ,industrial production ,National security ,life services and higher research design and other aspects of the design .As a part of the robot ,the mobile robot has concentrated the research results of intelligent sensing technology , mechanical manufacturing ,electronic communication technology ,intelligent instrument and automation control engineering . It is one of the most advanced technology research and design .In this paper , based on genetic algorithm to optimize the RBF network approximation algorithm , based on the characteristics of the robot motion trajectory , the robot motion trajec-tory control technology is studied .Through the real-time sensor online perception system , the robot can plan a trajectory without collision and route .The experimental results show that the design and research of the robot motion trajectory opti-mization technology , with good control effect , which can effectively avoid the obstacles in the course of the road , its reli-ability , good stability , the application prospect is very broad .%随着国力的不断增长，我国科技产业发展突飞猛进，机械自动化、计算机控制系统和测试计量行业的不断发展，使得移动机器人的研究也达到了一个前所未有的高度，机器人已经被广泛地应用到农业生产、工业生产、国家安全、生活服务和高等研究设计等领域的各个方面。移动机器人作为机器人的一部分，集中了智能传感技术、机械制造、电子无线通信技术、智能仪器和自动化控制工程等多学科的研究成果，是当前科技研究与设计最前沿的领域之一。为此，基于遗传算法优化RBF 网络逼近算法，根据机器人运动轨迹的特性，研究了机器人运动轨迹控制技术，通过实时传感器在线感知系统，为智能机器人实时规划出无碰撞、路线短的运动轨迹。实验结果表明：所研究的机器人运动轨迹优化技术，具有较好的控制作用，其在行进过程中能及时、有效避地开前方障碍，可靠性强，稳定性好，应用前景非常广阔。
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