Semantic trajectory applied to the navigation of autonomous mobile robots

摘要

Current technology produces a big mass of information. The application of this information gives meaning and purpose to this data. Mobile robots can benefit from this information. This paper proposes a framework to apply semantic information to the navigation of autonomous mobile robots, tracking the robot movement into a semantic trajectory and analyzing the context data on the decision-making process through a behavior tree. Experiments show that this framework provides a structure to intelligent navigation and data information to improve the robot behavior.