Effective informational entropy reduction in multi-robot systems based on real-time TVS
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Paper covers the questions of informational entropy reduction and effectiveness improvement of multi-robot systems (MRS) in densely cluttered terrain. The presented approach uses the author's real-time laser technical vision systems (TVS) as the main tool for environmental sensing. The article proposes the MRS collaboration approach during the indoor environment digitalization while sharing information about detected obstacles.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019 |
| Number of pages | 6 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 01.06.2019 |
| Pages | 1162-1167 |
| Article number | 8781209 |
| ISBN (electronic) | 978-1-7281-3666-0, 978-1-7281-3665-3 , 978-1-7281-3667-7 |
| DOIs | |
| Publication status | Published - 01.06.2019 |
| Event | IEEE International Symposium on Industrial Electronics - ISIE 2019 - Pinnacle Hotel Harbourfront, Vancouver, Canada Duration: 12.06.2019 → 14.06.2019 Conference number: 28 http://www.cvent.com/events/2019-ieee-28th-international-symposium-on-industrial-electronics-isie-/event-summary-d4f8357b85bf4bc6a6607a9d2571f033.aspx?dvce=1 |
- 3D laser scanner, data exchange, informational entropy, robotic group, vision system
- Engineering