Collaborative robot network with hybrid electro-mechanical plant management methods
An autonomous ground vehicle for agricultural plant and soil management operations. According to some embodiments, autonomous ground vehicle includes: a camera unit configured to generate images of agricultural ground soil and plant organisms, a first mechanical arm having an end effector comprising a hoe portion and an electrode portion, a second mechanical arm having an end effector comprising an electrode portion, a high voltage booster electrically connected to the electrode portions, an electronic memory storage medium comprising computer-executable instructions; one or more processors in electronic communication with the electronic memory storage medium, configured to execute the computer-executable instructions stored in an electronic memory storage medium for implementing a plant species control management operation comprising electrical control and mechanical control options.
1. An autonomous ground vehicle for agricultural plant and soil management operations, the autonomous ground vehicle comprising:
a ground vehicle unit;
a first camera unit coupled to the ground vehicle unit, the first camera unit configured to generate a first set of images of agricultural ground soil and plant organisms in a forward path of the ground vehicle unit;
a first mechanical arm coupled to the ground vehicle unit, the first mechanical arm having a first end effector comprising a first hoe portion;
an electronic memory storage medium housed in the ground vehicle unit, the electronic memory storage medium comprising computer-executable instructions;
one or more processors housed in the ground vehicle unit, the one or more processors in electronic communication with the electronic memory storage medium, the one or more processors configured to execute the computer-executable instructions stored in the electronic memory storage medium to implement a plant species control management operation comprising:
analyzing, by the one or more processors, the first set of images to identify a plant organism;
using, by the one or more processors, an artificial intelligence algorithm to determine whether the identified plant organism is set for plant organism control, wherein the artificial intelligence algorithm is stored in the electronic memory storage medium;
generating, by the one or more processors, based on the determination that the identified plant organism is set for plant organism control, ground vehicle unit control instructions configured to advance the ground vehicle unit and/or the first mechanical arm to be within a threshold proximity of the identified plant organism;
determining, by the one or more processors, a mechanical control method of plant organism control for the identified plant organism;
generating, by the one or more processors, based on the mechanical control method, mechanical arm control instructions for mechanical control comprising:
positioning at least the first hoe portion to be in contact with soil distal to the identified plant organism;
moving the first hoe portion through the soil to remove at least a portion of the identified plant organism;
executing, by the one or more processors, the generated mechanical arm control instructions.
2. The autonomous ground vehicle of claim 1 , wherein the ground vehicle unit comprises mechanical legs.
3. The autonomous ground vehicle of claim 1 , wherein the ground vehicle unit comprises one or more protrusions coupled to an external portion of the ground vehicle unit, the one or more protrusions configured to engage with the first hoe portion to remove debris material from the first hoe portion.
4. The autonomous ground vehicle of claim 1 , wherein the autonomous ground vehicle further comprises an energy storage unit housed in the ground vehicle unit.
5. The autonomous ground vehicle of claim 4 , wherein the autonomous ground vehicle further comprises a solar panel unit electrically coupled to the energy storage unit, wherein the solar panel unit is configured to electrically recharge the energy storage unit housed in the ground vehicle unit.
6. The autonomous ground vehicle of claim 1 , wherein the ground vehicle unit comprises two or more wheels.
7. The autonomous ground vehicle of claim 1 , wherein analyzing, by the one or more processors, the first set of images to identify the plant organism comprises use of a computer vision algorithm.
8. The autonomous ground vehicle of claim 1 , wherein the plant species control management operation further comprises: using, by the one or more processors, the artificial intelligence algorithm to determine a plant species type of the identified plant organism.
9. The autonomous ground vehicle of claim 1 , wherein the first mechanical arm further comprises a first shovel portion.
10. The autonomous ground vehicle of claim 1 , wherein the first hoe portion comprises a warren hoe.
11. A computer-implemented method for using an autonomous ground vehicle for agricultural plant and soil management and operations, the computer-implemented method comprising:
analyzing, by a computing system, a first set of images to identify a plant organism, the first set of images generated by a first camera unit coupled to a ground vehicle unit of the autonomous ground vehicle;
using, by the computing system, an artificial intelligence algorithm to determine whether the identified plant organism is set for plant organism control, wherein the artificial intelligence algorithm is stored in an electronic memory storage medium of the autonomous ground vehicle;
generating, by the computing system, based on the determination that the identified plant organism is set for plant organism control, ground vehicle unit control instructions configured to advance the ground vehicle unit and/or a first mechanical arm to be within a threshold proximity of the identified plant organism, wherein the ground vehicle unit comprises the first mechanical arm coupled to the ground vehicle unit, the first mechanical arm having a first end effector comprising a first hoe portion;
determining, by the computing system, a mechanical control method of plant organism control for the identified plant organism;
generating, by the computing system, based on the mechanical control method, mechanical arm control instructions for mechanical control comprising:
positioning at least the first hoe portion to be in contact with soil distal to the identified plant organism;
moving the first hoe portion through the soil to remove at least a portion of the identified plant organism;
executing, by the computing system, the generated mechanical arm control instructions;
wherein the computing system comprises one or more hardware computer processors in communication with one or more computer readable data stores and configured to execute a plurality of computer executable instructions.
12. The computer-implemented method of claim 11 , wherein the ground vehicle unit comprises mechanical legs.
13. The computer-implemented method of claim 11 , wherein the ground vehicle unit comprises one or more protrusions coupled to an external portion of the ground vehicle unit, the one or more protrusions configured to engage with the first hoe portion to remove debris material from the first hoe portion.
14. The computer-implemented method of claim 11 , wherein the autonomous ground vehicle further comprises an energy storage unit housed in the ground vehicle unit.
15. The computer-implemented method of claim 14 , wherein the autonomous ground vehicle further comprises a solar panel unit electrically coupled to the energy storage unit, wherein the solar panel unit is configured to electrically recharge the energy storage unit housed in the ground vehicle unit.
16. The computer-implemented method of claim 11 , wherein the ground vehicle unit comprises two or more wheels.
17. The computer-implemented method of claim 11 , wherein analyzing, by the computing system, the first set of images to identify the plant organism comprises use of a computer vision algorithm.
18. The computer-implemented method of claim 11 , wherein the method further comprises: using, by the computing system, the artificial intelligence algorithm to determine a plant species type of the identified plant organism.
19. The computer-implemented method of claim 11 , wherein the first mechanical arm further comprises a first shovel portion.
20. The computer-implemented method of claim 11 , wherein the first hoe portion comprises a warren hoe.