Abstract
The significance of behavior-based robots and the indoor navigation system has increased significantly over the past few years in its monitoring and wayfinding, taking into account the existence of robot behavior in various fields of social interest. The basic strategy of the overall behavior tasks in a behavior-based system are divided into smaller independent behaviors that focus on the performance of specific tasks such as the behavior of a robot for indoor environments. One behavior will concentrate on the wall, while the other focuses on avoiding obstacles, etc. Indoor navigation is the main concern since almost a lot of individuals spend more time in the indoor climate. In different fields such as hospitals, transportation, marketing, and military purposes, it becomes an essential thought. The main goal of this paper to give a survey of distance estimation in IndoorGML, behaviors system, and the questions of their robotic implementation possibilities. In this essay, we define robot activities and two basic approaches to distance estimation, such as combinatorial planning and sampling-based planning. These two planning strategies are the principles of motion planning. Combinatorial planning is used for finding the path over the continuous configuration space without restoring it to approximations. The most used concept in planning is sampling-based planning, it provides a successful solution in wayfinding path planning, and because of this, it is performed in different robotics fields. Therefore, for distance estimation in IndoorGML maps, we apply combinatorial and sampling-based approaches.
Recommended Citation
Lone, Mohd Aaqib; khanday, Owais mujtaba; and Gani, Aadil Ganie
(2024)
"A Survey on Robot Behavior and Distance Estimation in IndoorGML Maps Implementation,"
American Journal of Electronics & Communication (AJEC): Vol. 1:
Iss.
3, Article 1.
Available at:
https://research.smartsociety.org/ajec/vol1/iss3/1