Abstract
This study designs, integrates and implements a cloud-enabled autonomous robotic navigation system. The system has the following features: map generation and robot coordination via cloud service and video streaming to allow online monitoring and control in case of emergency. The system has been tested to generate a map for a long corridor using two modes: manual and autonomous. The autonomous mode has shown more accurate map. In addition, the field experiments confirm the benefit of offloading the heavy computation to the cloud by significantly shortening the time required to build the map.
| Original language | English |
|---|---|
| Title of host publication | 2020 2nd International Conference on Computer and Information Sciences, ICCIS 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728154671 |
| DOIs | |
| State | Published - 13 Oct 2020 |
Publication series
| Name | 2020 2nd International Conference on Computer and Information Sciences, ICCIS 2020 |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Autonomous navigation
- Cloud computing
- Robotic networks
- SLAM
- Turtlebot
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems and Management
- Control and Optimization
- Information Systems
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