AI drones, robots, and signal-based transportation, movement, and coordination systems.

Abstract

Scalable AI drones and robots enable large-scale, efficient automation, such as automatically delivering goods to their destinations. [Solution] Place multiple drones (or robots, etc.) at the starting point, destination, and multiple locations along the set route.

Description

Technical Field

[0001] Transportation Movement and Collaboration System

Background Art

[0002] There are problems with the transportation movement and collaboration system

Summary of the Invention

Problems to be Solved by the Invention

[0003] Automatically deliver a delivery item to the destination by a practical and scalable AI drone robot, etc.

Means for Solving the Problems

[0004] Arrange multiple drones (or robots, etc.) at a plurality of locations including the departure place, the destination place, and a plurality of places on the set route. The transportation of one delivery item is completed by multiple drones. The route and intermediate points are set as shown in FIG. 2.

Effects of the Invention

[0005] Regarding automatically delivering a delivery item to the destination by a scalable AI drone robot, etc., large-scale and efficient automation is made possible and practical.

Brief Description of the Drawings

[0006] [Figure 1.1] In the case of a short-distance or simple scenario, all drones and the luggage go directly to the destination. [Figure 1.2-1.3] All drones are divided into five groups and each belongs to places numbered 1, 2, 3, 4, and 5 respectively. The drone moves the luggage only to the adjacent place. There is a QR code for identifying the luggage and the destination, etc., and the drones carry the luggage in turn until the destination. The drone is equipped with a camera, a robot arm, a learned AI, etc. Also, whether the belonging relationship of the drone and the need to return to the belonging immediately can be determined by the system (in each status from the subsystem) at any time according to the situation (by notifying the subsystem). [Figure 2] All the drones are divided into 25 groups, and each group moves the cargo belonging to location 11 through 55 to only the adjacent location. [Figures 3.1-3.5] Part of the references in Figure 2 [Figure 4] Just as Figure 1 expands from one location to five locations (a fivefold increase), if we further expand Figure 2 to the next dimension, for example, locations 53 and 12 in Figure 3.5 expand as shown in Figure 4. In other words, just as we expand from Figure 1 to Figure 2, all the drones are divided into 125 groups, and the cargo belonging to locations 111 to 555 is moved only to adjacent locations. [Figure 5] In the examples of execution on the open sea and on a ship, for example, locations 535 and 123 in Figure 4 should be designated as ships. [Figure 6] A schematic example of the hardware configuration of a computer 600 that functions as a control device for drones in a transport system with multiple drones and robots is shown. [Figure 7] This diagram schematically shows an example of the hardware configuration of a computer 700 that functions as a control system for multiple drones / robots, and for the drones' assigned locations and vessels. [Figures 8.1-8.2] A schematic example of the software configuration for the functional subsystems 810 and 820 of a transport system with multiple drones and robots is shown. [Figure 9] Implementation in outer space / solar system: 25 artificial satellites are placed near Earth, Moon, Mars, Mercury, Jupiter, Venus, and Saturn, with their neighboring relationships set up as shown in Figure 2. (The drones act as signal transceivers, and the packages become the information carried by the signals.) 25 pairs of signal transceivers belong to each location, and signal transmission and reception can only occur in adjacent locations. [Figure 10] An example of inter-GPU core communication: Neighboring relationships are established among 25 cores as shown in Figure 2. Information is exchanged with neighboring cores as shown in Figure 9. (If the information destination is not that particular core, signals should be prepared and the information transferred to all neighboring cores.)

Claims

[Claim 1] As a transportation, movement, and coordination system using AI drones, robots, and signals, its features include the ability to define locations and adjacent relationships as shown in Figure 2, and the expandability from Figure 1 to Figure 2. The drone only carries cargo to its own location and adjacent locations. It's also possible that the drone itself acts as a signal transceiver, and the cargo becomes the information carried by the signal.

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