Abstract
Robot navigation in indoor environments has become an essential task for several applications, including situations in which a mobile robot needs to travel independently to a certain location safely and using the shortest path possible. However, indoor robot navigation faces challenges, such as obstacles and a dynamic environment. This paper addresses the problem of social robot navigation in dynamic indoor environments, through developing an efficient SLAM-based localization and navigation system for service robots using the Pepper robot platform. In addition, this paper discusses the issue of developing this system in a way that allows the robot to navigate freely in complex indoor environments and efficiently interact with humans. The developed Pepper-based navigation system has been validated using the Robot Operating System (ROS), an efficient robot platform architecture, in two different indoor environments. The obtained results show an efficient navigation system with an average localization error of 0.51 m and a user acceptability level of 86.1%.
| Original language | English |
|---|---|
| Article number | 158 |
| Journal | Machines |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2023 |
Keywords
- Pepper robot
- Robot Operating System (ROS)
- SLAM
- map production
- robot navigation
- social robot
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science (miscellaneous)
- Mechanical Engineering
- Control and Optimization
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering