A Review of a Brain-controlled Robot Based on the SLAM System

Abstract

This paper mainly talks about the analysis about the review of a brain-controlled robot based on the Simultaneous Localization and Mapping system (SLAM). Brain robots today as the cutting-edge technology, after combined with the SLAM system, it enables to carry out path planning and intelligently avoid obstacles without human intervention. It can get better positioning accuracy and information transfer after the brain robot combined with the assist of the SLAM system. In this paper, analysis the technical principle of the combination between Brain Computer Interface and SLAM system and put forward brain-computer interface (BCI) do active control and SLAM do assisted strategy. At the same time, according to analysing literature, summarizing the applicable system model, which mainly about SLAM algorithm system, robot system, point cloud scanner, optimization of path planning algorithm and technology application with good performance. This paper examples two applications of brain-controlled robots combined with SLAM system, respectively are the related applications of medical care field and mobile robots, which involve path planning, static obstacle positioning, robot acceleration control and acquisition of map information of the unknown environment. As a combination of two cutting-edge technologies, it has a good development trend and is worthy of in-depth research.