A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods

被引:301
作者
Alatise, Mary B. [1 ]
Hancke, Gerhard P. [1 ,2 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
[2] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
关键词
Mobile robots; Robot sensing systems; Navigation; Wheels; Task analysis; Robot kinematics; Autonomous mobile robot; sensor fusion; devices; estimation; localization; and navigation; EXTENDED KALMAN FILTER; POSE ESTIMATION; LOCALIZATION; VISION; NAVIGATION; SYSTEM; MODEL; ENVIRONMENTS; CALIBRATION; AVOIDANCE;
D O I
10.1109/ACCESS.2020.2975643
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Autonomous mobile robots are becoming more prominent in recent time because of their relevance and applications to the world today. Their ability to navigate in an environment without a need for physical or electro-mechanical guidance devices has made it more promising and useful. The use of autonomous mobile robots is emerging in different sectors such as companies, industries, hospital, institutions, agriculture and homes to improve services and daily activities. Due to technology advancement, the demand for mobile robot has increased due to the task they perform and services they render such as carrying heavy objects, monitoring, search and rescue missions, etc. Various studies have been carried out by researchers on the importance of mobile robot, its applications and challenges. This survey paper unravels the current literatures, the challenges mobile robot is being faced with. A comprehensive study on devices/sensors and prevalent sensor fusion techniques developed for tackling issues like localization, estimation and navigation in mobile robot are presented as well in which they are organised according to relevance, strengths and weaknesses. The study therefore gives good direction for further investigation on developing methods to deal with the discrepancies faced with autonomous mobile robot.
引用
收藏
页码:39830 / 39846
页数:17
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