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国内外在机器人控制方面的研究表明：基于传统的符号处理方法建立的机器人智能系统不能适应环境的动态变化，以解决实时、可靠的控制问题。作者针对机器人的导航任务，研究了感知动作行为，并通过这些行为与外部环境之间的动态交互，实现了机器人有序的行为控制。实验表明基于行为的这类系统结构简单、性能良好，并具有很强的实时性和鲁棒性，是一项值得深入研究的人工智能（ＡＩ）新课题。
The research on robot control at home and abroad shows that the robot intelligent system based on the traditional symbolic processing method can not adapt to the dynamic changes of the environment and solve the real-time and reliable control problem. In view of the robot’s navigational task, the author studies the behavior of perceived action and realizes the robot’s orderly behavior control through the dynamic interaction between these behaviors and the external environment. Experiments show that this behavior-based system is simple, well-behaved and has strong real-time and robustness. It is a new topic of artificial intelligence (AI) deserving further study.