基于神经网络进化学习的两轮小车避障控制

OBSTACLE-AVOIDANCE CONTROL OF THE TWO-WHEELED CART BASED ON EVOLVING NEURAL NETWORK

摘要: 本文提出了基于神经网络的两轮小车的避障控制，通过进化学习实现了小车在非结构化环境中的避障行为．这种神经网络控制结构同时完成传感器数据融合功能，具有一定的传感器容错能力．

Abstract: This paper proposes a method for obstacle-avoidance control of a 2-wheeled cart based on neural network, and this method realizes the obstacle avoidance in unknown environment by evolution learning. Meanwhile, this control structure has the ability of data fusion and its sensors have the ability of fault tolerance.