Open AccessEmbedded system environment self-awareness using LIDAR technologies for robotics applications
Author(s) -
Stoyan Bogdanov,
Denis Chikurtev,
Nina Spasova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1031/1/012047
Subject(s) - modular design , robotics , computer science , lidar , obstacle , artificial intelligence , obstacle avoidance , robot , software , mobile robot , embedded system , navigation system , real time computing , systems engineering , computer vision , human–computer interaction , engineering , remote sensing , operating system , geography , archaeology
LIDAR technology is a major part of autonomous robots. That technology provides the necessary data for autonomous navigation, localization, surface scanning and obstacle detection. This paper presents a modular embedded system architecture, which is a part of a self-sufficient AI. The LIDAR software module of the proposed system is described. That module will provide 2D information about the surrounding environment. It is developed like a loadable module with options for self-compiling in the system. This research is the first step of self-awareness embedded system. In addition, we illustrate the application of the module in localization and navigation of mobile robots. The results achieved show that the developed software module is applicable for robotics localization and navigation.