Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Group navigation improvement for a robotic group is an actual task. This problem can be solved by optimizing communication within this group, even for a heavily cluttered environment. Also, optimized communication can be successfully used for effective penetration into the studied sector. The article solves the problems that arise when the robots group navigation acts. It describes the use of a technical vision system (TVS) based on the principle of dynamic triangulation with subsequent transmission of data of interest. Two different simulations in order to optimize the fused database for better path planning aiming the improvement of electric wheeled mobile robots group navigation in unknown cluttered terrain are presented. It permits more efficient path-planning of the RG
| Original language | English |
|---|---|
| Title of host publication | 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020 |
| Number of pages | 6 |
| Place of Publication | Piscataway |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 01.06.2020 |
| Pages | 532-537 |
| Article number | 9161957 |
| ISBN (print) | 978-1-7281-7020-6 |
| ISBN (electronic) | 978-1-7281-7019-0, 978-1-7281-7018-3 |
| DOIs | |
| Publication status | Published - 01.06.2020 |
| Event | 25th International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020 - Sorrento, Italy Duration: 24.06.2020 → 26.06.2020 Conference number: 25 http://www.speedam.org/ |
- 3D laser scanner, Electric wheeled mobile robots, Propagation of information, Roles distribution, Vision system
- Engineering