Current status and analysis of the development of SLAM technology applied to mobile robots

Author:

Qiu Yixin

Abstract

Abstract Mobile robots are tasked with jobs that assist or replace human work. With the development of technology, mobile robots have had a significant impact on human productive life. As for mobile robots, the core technology is the location awareness of itself. Therefore, this paper analyses the current development state of simultaneous localization and mapping (SLAM) technology applied to mobile robots. First, the overall process and key technologies were explained in detail. Subsequently, the classical algorithms developed in SLAM technology so far are classified based on the characteristics of information-aware devices in terms of methods as well as a more detailed description and comparative analysis of the algorithms. Finally, this paper analyses the current development status of SLAM and the remaining problems from the key performance indicators of SLAM technology, and interprets the future development trend of SLAM technology applied to mobile robots.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference16 articles.

1. Leonard. Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age;Cadena;IEEE Transactions on Robotics(TRO),2016

2. MonoSLAM: Real-Time Single Camera SLAM;Davison;IEEE Transactions on Pattern Analysis and Machine Intelligence,2007

3. FastSLAM: A factored solution to the simultaneous localization and mapping problem;Montemerlo;Aaai/iaai,2002

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