Robot Navigation in an Uncertain Environment using Dynamic programming via Markov decision process

被引：0

作者：

Sivadas, Meera ^{[1
]}

Mohan, Ambili ^{[1
]}

机构：

[1] Muthoot Inst Technol & Sci, Dept Elect & Elect, Varikoli, India

来源：

2018 INTERNATIONAL CONFERENCE ON CONTROL, POWER, COMMUNICATION AND COMPUTING TECHNOLOGIES (ICCPCCT) | 2018年

关键词：

Dynamic Programming; Markov Decision Process; Robot Navigation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the design of a controller to navigate a robot through a clustered and uncertain environment. The approach employed is Dynamic Programming using Markov Decision process. The optimal policy and value function for the given stage cost, that will navigate the robot from its initial point to the destination without colliding with obstacles in its path is determined. The algorithm is implemented in MATLAB and simulation results of optimal policy and value function are obtained.

引用

页码：190 / 194

页数：5