Abstract: This paper introduces a framework of simulation system for robot path-planning based on biological immunity algorithm. The system can acquire and optimize rules via machine learning, and has strong ability in domain searching, self-adapting and learning. Therefore, the system can rapidly generate the path plan that can fully accustom to the environment.

摘要： 从生物学免疫的角度出发,介绍了一个基于免疫算法的移动机器人路径规划系统。该系统能够通过学习来获取规则,优化规则,且有很强的空间搜索、自适应和自学习能力,能够较快地产生适应所处环境空间的路径规划方案。

关键词: 免疫算法, 移动机器人, 路径规划, 三维仿真系统

CLC Number: 

• TP242.6