An Experience Based Learning Controller

• 作者: Debadutt Goswami Ping Jiang
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 工学
• 关键词: Mobile ROBOTS LEARNING from DEMONSTRATION Neural Network Control REINFORCEMENT LEARNING
• 年，卷（期）: 2010,（2）
• 页码范围: 80-85
• 页数: 6页
• 分类号: TP2

摘要

The autonomous mobile robots must be flexible to learn the new complex control behaviours in order to adapt effectively to a dynamic and varying environment. The proposed approach of this paper is to create a controller that learns the complex behaviours incorporating the learning from demonstration to reduce the search space and to improve the demonstrated task geometry by trial and corrections. The task faced by the robot has uncertainty that must be learned. Simulation results indicate that after the handful of trials, robot has learned the right policies and avoided the obstacles and reached the goal.