Path Planning for Mobile Robots based on Semantic Mapping

Abstract

In this paper, we present a path planning approach for mobile robots using semantic maps. Semantic mapping is qualitative description of the robot’s surroundings, that aims to augment the navigation capabilities and task planning for robots operating in human-robot scenarios. It presents a knowledge layer over an existing map representation such that the knowledge information can be used by robots to learn tasks in a human friendly way. We present a planning scheme using such semantic maps, in order to improve the goal reaching capabilities of the robot in a task-planning scenario. Our method can integrates existing path planners into the topological graph planner that produces faster goal searches.