Drone taxi system based on multi-agent reinforcement learning and drone taxi operation using the same
US12223447B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 9, 2022 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Oct 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/46
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Provided are a drone taxi system based on multi-agent reinforcement learning and a drone taxi operation method using the same. The drone taxi system includes a plurality of drone taxies configured to receive call information including departure point information and destination information from passenger terminals present within a certain range and a control server configured to receive call information of passengers from each drone taxi, select a candidate passenger depending on whether a passenger is present, generate travel route information of each drone taxi from drone state information of the plurality of drone taxies through multi-agent reinforcement learning, and transmit the travel route information to the drone taxi.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.