1. A robotic system for material handling and logistics optimization in manufacturing facilities, comprising: a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; and a user interface for providing real-time monitoring and control of the robotic system.

2. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with sensors for detecting obstacles, and the central control system is configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles.

3. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with manipulator arms for handling materials, and the central control system is configured to optimize the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.

4. The robotic system of claim 1, wherein the central control system is further configured to optimize the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.

5. The robotic system of claim 1, wherein the user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility.

6. The robotic system of claim 1, wherein the central control system is further configured to generate reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process.

7. A method for optimizing material handling and logistics in a manufacturing facility using a robotic system, the method comprising: providing a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; providing a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; providing a user interface for providing real-time monitoring and control of the robotic system; and using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process.

8. The method of claim 1, further comprising equipping the autonomous mobile robots with sensors for detecting obstacles and dynamically adjusting routing and scheduling of the autonomous mobile robots in response to detected obstacles.

9. The method of claim 1, further comprising equipping the autonomous mobile robots with manipulator arms for handling materials and optimizing the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.

10. The method of claim 1, further comprising optimizing the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process. Robotic system for material handling and logistics optimization in manufacturing facilities Abstract A robotic system for material handling and logistics optimization in manufacturing facilities may be included in some embodiments of the present disclosure. This robotic system may include a number of autonomous mobile robots that are capable of transporting materials between predetermined locations within the manufacturing facility. A central control system that is able to receive and analyze data pertaining to the manufacturing process, as well as determine the most efficient routing and scheduling for the autonomous mobile robots based on the data that has been evaluated, may also be included in embodiments. In other embodiments, a user interface may also be included, with the purpose of allowing real-time monitoring and control of the robotic system. , Claims:Claims :

1. A robotic system for material handling and logistics optimization in manufacturing facilities, comprising: a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; and a user interface for providing real-time monitoring and control of the robotic system.

2. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with sensors for detecting obstacles, and the central control system is configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles.

3. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with manipulator arms for handling materials, and the central control system is configured to optimize the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.

4. The robotic system of claim 1, wherein the central control system is further configured to optimize the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.

5. The robotic system of claim 1, wherein the user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility.

6. The robotic system of claim 1, wherein the central control system is further configured to generate reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process.

7. A method for optimizing material handling and logistics in a manufacturing facility using a robotic system, the method comprising: providing a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; providing a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; providing a user interface for providing real-time monitoring and control of the robotic system; and using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process.

8. The method of claim 1, further comprising equipping the autonomous mobile robots with sensors for detecting obstacles and dynamically adjusting routing and scheduling of the autonomous mobile robots in response to detected obstacles.

9. The method of claim 1, further comprising equipping the autonomous mobile robots with manipulator arms for handling materials and optimizing the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.

10. The method of claim 1, further comprising optimizing the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.

Description:ROBOTIC SYSTEM FOR MATERIAL HANDLING AND LOGISTICS OPTIMIZATION IN MANUFACTURING FACILITIES
Field of the Invention
[0001] The present invention relates to the field of manufacturing and material handling systems. More specifically, it is directed towards a robotic system for material handling and logistics optimization in manufacturing facilities. The invention seeks to address the need for a more advanced and adaptable solution to optimize material handling and logistics in manufacturing facilities. The system includes a fleet of autonomous mobile robots that can navigate the facility using sensors and cameras, along with a central control system that communicates with each robot and uses advanced algorithms to optimize the routing of materials.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Manufacturing facilities are under constant pressure to optimize their processes and increase efficiency in order to remain competitive in the market. Material handling and logistics optimization are critical components in achieving these goals. Traditional material handling systems require significant manual labor, which can lead to inefficiencies, errors, and safety concerns. Additionally, the logistics of moving materials within a manufacturing facility can be complex, requiring careful planning and management to ensure timely delivery and avoid disruptions in the production process.
[0004] Various automated systems have been developed to address these challenges, including conveyor systems, robotic arms, and automated guided vehicles (AGVs). However, these systems often have limitations and are not flexible enough to adapt to the changing requirements of manufacturing facilities. For example, conveyor systems can be inflexible and require significant space, while robotic arms may not be able to handle all types of materials. Few of the patent documetns are are listed below.
[0005] US9190304B2 (By: BROOKS AUTOMATION) A workpiece container storage and handling system includes a base, a number of wheels connected to the base, and a container handling system connected to the base. The wheels provide for movement of the base. The container handling system is defined to hold at least two containers in a vertically overlying orientation relative to each other. The container handling system is defined to provide for controlled vertical travel of the at least two containers in unison relative to the base. Also, the container handling system is defined to provide for controlled and independent horizontal travel of each of the at least two containers relative to the base.
[0006] US10793047B1 (By: VECNA ROBOTICS) A mobile robot is provided having a support surface for supporting a plurality of articles and securing material secured to and positioned for operable communication with the robot for securing the plurality of articles on the support surface. A robotic arm member also is provided that is secured to the robot and configured to autonomously gather the articles from a location remote from the mobile robot, place the articles in desired positions on the support surface and autonomously secure, via the securing material, the plurality of articles on the support surface to substantially restrict movement of the articles on the support surface and without requiring any outside intervention or human input to secure the articles.
[0007] CN204777053U (By: BEIJING ZHONGKE AOTE AUTOMATION EQUIPMENT) The utility model provides an automatic logistics system of flexible manufacturing, always control unit, spraying unit and robot assembly unit including stereoscopic warehouse and hacking machine unit, transfer chain system unit, CCD shape colour detecting element, transfer robot unit, numerical control machining unit, detecting element, waste product letter sorting unit, AGV delivery robot unit, system, the utility model discloses a PROFIBUS -DP field bus and wireless data transmission module carry out height, high -efficient integrated with all unit control systems, realize network dispatch and control, with the control always of the identical warp of industrial field form, realize logistics system's automatic transportation, the letter sorting, and real -time supervision and renewal are carried out through each item sensor to each item operations such as processing assembly. It is automatic in order to realize to be equipped with all kinds of robots, like 6 -degree of freedom series connection machine people, AGV delivers the robot, and each item actions such as unmanned assembly processing transport are realized to the automatic transfer chain of make full use of robotechnology cooperation.
[0008] There is a need for a more advanced and adaptable solution to optimize material handling and logistics in manufacturing facilities. The present invention seeks to address this need by providing a flexible and adaptable system that can efficiently and safely transport materials within a manufacturing facility.
[0009] The present invention is a system for material handling and logistics optimization that includes a fleet of autonomous mobile robots that can navigate the facility using sensors and cameras. The robots are equipped with a gripping mechanism that can pick up and transport materials of various sizes and shapes. The system can be programmed to perform a wide range of tasks, including loading and unloading machines, moving materials to and from storage areas, and delivering materials to various points within the facility.
[00010] The system includes a central control system that communicates with each robot, collecting data on the location of materials and the status of each robot. The control system uses advanced algorithms to optimize the routing of materials, taking into account various factors such as the location of machines, the availability of storage areas, and the production schedule. The system is flexible and adaptable, capable of adjusting to changes in

[00011] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[00012] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00013] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00014] The following paragraphs provide additional support for the claims of the subject application.
[00015] The present invention relates to the field of manufacturing and material handling systems. More specifically, it is directed towards a robotic system for material handling and logistics optimization in manufacturing facilities. The invention seeks to address the need for a more advanced and adaptable solution to optimize material handling and logistics in manufacturing facilities. The system includes a fleet of autonomous mobile robots that can navigate the facility using sensors and cameras, along with a central control system that communicates with each robot and uses advanced algorithms to optimize the routing of materials.
[00016] Embodiments of the present disclosure may include a robotic system for material handling and logistics optimization in manufacturing facilities, wherein the robotic system includes a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility. Embodiments may also include a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data. Embodiments may also include a user interface for providing real-time monitoring and control of the robotic system.
[00017] In some embodiments, the autonomous mobile robots may be equipped with sensors for detecting obstacles, and the central control system may be configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles. In some embodiments, the autonomous mobile robots may be equipped with manipulator arms for handling materials, and the central control system may be configured to optimize the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.
[00018] In some embodiments, the central control system may be further configured to optimize the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process. In some embodiments, the user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility.
[00019] In some embodiments, the central control system may be further configured to generate reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process. In some embodiments, the method may include equipping the autonomous mobile robots with sensors for detecting obstacles and dynamically adjusting routing and scheduling of the autonomous mobile robots in response to detected obstacles.
[00020] In some embodiments, the method may include equipping the autonomous mobile robots with manipulator arms for handling materials and optimizing the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility. In some embodiments, the method may include optimizing the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.
[00021] Embodiments of the present disclosure may also include a method for optimizing material handling and logistics in a manufacturing facility using a robotic system, the method

including providing a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility. Embodiments may also include providing the central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data. Embodiments may also include providing a user interface for providing real-time monitoring and control of the robotic system. Embodiments may also include using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process.
Brief Description of the Drawings
[00022] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00023] FIG. 1 is a block diagram illustrating a robotic system, according to some embodiments of the present disclosure.
[00024] FIG. 2 is a flowchart illustrating a method for optimizing material handling and logistics in a manufacturing facility, according to some embodiments of the present disclosure.
Detailed Description
[00025] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00026] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention..
[00027] The present invention relates to the field of manufacturing and material handling systems. More specifically, it is directed towards a robotic system for material handling and logistics optimization in manufacturing facilities. The invention seeks to address the need for a more advanced and adaptable solution to optimize material handling and logistics in manufacturing facilities. The system includes a fleet of autonomous mobile robots that can navigate the facility using sensors and cameras, along with a central control system that communicates with each robot and uses advanced algorithms to optimize the routing of materials.
[00028] In accordance with different implementations of the current disclosure, the robotic system 100 is shown in the figure that has been labelled "FIG. 1." A number of autonomous mobile robots 110 that are capable of transporting materials between predetermined locations within the manufacturing facility, a central control system 120 that is configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots 110 based on the analyzed data, and a user interface 130 that is capable of providing real-time monitoring may be included in some industrial manufacturing processes.
[00029] The autonomous mobile robots 110 may, in certain implementations, be equipped with sensors that are able to identify obstructions, and the central control system 120 may be programmed to dynamically change the routing and scheduling of the autonomous mobile robots 110 in response to the detection of obstructions. The material-handling capabilities of the autonomous mobile robots 110 may be enhanced by the addition of manipulator arms in some implementations of the technology. Additionally, the central control system 120 may be programmed to optimize the distribution of materials to the autonomous mobile robots 110 based on the location of the materials within the manufacturing facility as well as their availability. To put it another way, the distribution of supplies might be optimized depending on how close they are located to the autonomous mobile robots 110.
[00030] In certain instances, further programming may be added to the central control system 120 in order to optimize the overall flow of materials throughout the production plant. Modifying the routing and scheduling of the autonomous mobile robots 110 in line with changes in the production process that are predicted is one way this may be achieved. In some implementations, the user interface 130 may additionally contain a graphical display that indicates the current position and status of each autonomous mobile robot. A real-time visualization of the production process and the flow of materials throughout the facility may also be included in the user interface 130, which is an additional feature.
[00031] In certain implementations, the central control system 120 may be further built to generate reports and analytics based on the data collected by the central control system 120. This process includes not only the step of installing sensors on the autonomous mobile robots 110 that are able to identify obstacles, but also the step of dynamically modifying the routing and scheduling of the autonomous mobile robots 110 in response to the discovered obstacles. The following are some examples of how the approach may be. The first step in this process will involve the installation of manipulator arms on the autonomous mobile robots 110 that are used for the handling of materials. The second step will involve optimizing the distribution of materials to the autonomous mobile robots 110 based on the location and availability of materials within the manufacturing facilityChanging the routes and timetables of the autonomous mobile robots 110 so that they are optimized for the predicted changes in the production process is necessary in order to maximize the effectiveness of the overall flow of materials through the manufacturing facility as a whole.
[00032] A flowchart representation of the method for optimizing material handling and logistics at a manufacturing facility may be seen in FIG. 2, which also offers a description of the process in accordance with different implementations of the current disclosure. The method may, in some implementations, include, at step 210, the provision of a number of autonomous mobile robots that are capable of transporting materials between designated locations inside the manufacturing plant. At the 220th step, one of the possible steps that can be included in the method is providing a central control system that is able to receive and analyze data pertaining to the manufacturing process and determine the optimal routing and scheduling for the autonomous mobile robots based on the data that has been analyzedAt step 230, the method could include the provision of a user interface with the intention of allowing real-time monitoring and control of the robotic system. At step 240 of the technique, it is possible to use the centralized control system to optimize the routing and scheduling of the autonomous mobile robots based on the analyzed data and expected shifts in the manufacturing process.
[00033] The robotic system for material handling and logistics optimization in manufacturing facilities comprises a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility. Each mobile robot is equipped with sensors to detect obstacles and manipulate arms to handle materials.
[00034] The robotic system further includes a central control system that receives and analyzes data regarding the manufacturing process, such as production schedules, inventory levels, and material locations. Based on the analyzed data, the central control system determines optimal routing and scheduling for the autonomous mobile robots, considering factors such as distance, traffic, and priority.
[00035] The central control system is also configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles, such as machines, equipment, or workers. By doing so, the robotic system can avoid collisions and optimize the overall flow of materials within the manufacturing facility.
[00036] The robotic system also includes a user interface that provides real-time monitoring and control of the robotic system. The user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility. This enables the user to track the progress of the manufacturing process and intervene if necessary.
[00037] In addition, the central control system generates reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process.
[00038] To optimize material handling and logistics in a manufacturing facility using the robotic system, the method involves providing the autonomous mobile robots, central control system, and user interface, and using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process. The method may also involve equipping the autonomous mobile robots with sensors and manipulator arms and optimizing the allocation of materials based on the location and availability of materials within the manufacturing facility.
[00039] The robotic system 100 for material handling and logistics optimization in manufacturing facilities may be included in some embodiments of the present disclosure. This robotic system 100 may include a number of autonomous mobile robots that are capable of transporting materials between predetermined locations within the manufacturing facility. The central control system 120 that is able to receive and analyze data pertaining to the manufacturing process, as well as determine the most efficient routing and scheduling for the autonomous mobile robots 110 based on the data that has been evaluated, may also be included in embodiments. In other embodiments, the user interface 130 may also be included, with the purpose of allowing real-time monitoring and control of the robotic system 100.
[00040] The autonomous mobile robots 110 may, in certain implementations, be fitted with sensors that can identify barriers, and the central control system 120 may be programmed to dynamically change the routing and scheduling of the autonomous mobile robots in response to the detection of impediments. In certain implementations, the autonomous mobile robots 110 may be furnished with manipulator arms for the purpose of managing the materials, and the central control system 120 may be programmed to optimize the distribution of the materials to the autonomous mobile robots 110 based on the location of the materials and their availability within the manufacturing facility.
[00041] The central control system 120 may, in some implementations, be further programmed to optimize the overall flow of materials throughout the manufacturing facility. This may be accomplished by modifying the routing and scheduling of the autonomous mobile robots 110 in accordance with changes in the manufacturing process that are anticipated. The user interface 130 may, in some implementations, include a graphical display that shows the current location and status of each autonomous mobile robot 110. Additionally, the user interface 130 may include a real-time visualization of the manufacturing process and the movement of materials throughout the facility.
[00042] The central control system 120 may, in some implementations, be further programmed to generate reports and analytics based on the data collected by the central control system 120. These reports and analytics may include performance metrics for the autonomous mobile robots 110 as well as recommendations for further optimizing the manufacturing process. The technique may, in certain implementations, involve provision of the autonomous mobile robots 110 with sensors for the purpose of obstacle detection and dynamic modification of the routing and scheduling of the autonomous mobile robots 110 in response to the detection of obstacles.
[00043] The method may, in some implementations, involve outfitting the autonomous mobile robots 110 with manipulator arms for the purpose of handling materials and optimizing the allocation of materials to the autonomous mobile robots 110 based on the location and availability of materials within the manufacturing facility. In other words, the method may involve a combination of the two concepts. The method may, in some implementations, include optimizing the overall flow of materials within the manufacturing facility by adjusting the routing and scheduling of the autonomous mobile robots 110 based on anticipated changes in the manufacturing process. This can be done in order to maximize the efficiency with which materials are moved throughout the manufacturing facility.
[00044] The present disclosure may also include a method for optimizing material handling and logistics in a manufacturing facility using the robotic system 100. This method may include providing a plurality of autonomous mobile robots 110 that are capable of transporting materials between predetermin ed locations within the manufacturing facility. Alternatively, this method may simply be an example of an embodiment of the present disclosure. Providing the central control system 120 that is able to collect and analyze data pertaining to the manufacturing process and determine the most efficient routing and scheduling for the autonomous mobile robots based on the data that has been evaluated is another possible aspect of embodiments. The provision of the user interface 130 for the purpose of allowing real-time monitoring and control of the robotic system 100 is another possible aspect of embodiments. Using the central control system 120 to optimize the routing and scheduling of the autonomous mobile robots in accordance with the analyzed data and predicted shifts in the production process is another possibility that may be included in embodiments.
[00045] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00046] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00047] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00048] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00049] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00050] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.
 

Claims
I/We Claim:
1. A robotic system for material handling and logistics optimization in manufacturing facilities, comprising: a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; and a user interface for providing real-time monitoring and control of the robotic system.
2. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with sensors for detecting obstacles, and the central control system is configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles.
3. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with manipulator arms for handling materials, and the central control system is configured to optimize the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.
4. The robotic system of claim 1, wherein the central control system is further configured to optimize the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.
5. The robotic system of claim 1, wherein the user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility.
6. The robotic system of claim 1, wherein the central control system is further configured to generate reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process.
7. A method for optimizing material handling and logistics in a manufacturing facility using a robotic system, the method comprising: providing a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; providing a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; providing a user interface for providing real-time monitoring and control of the robotic system; and using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process.
8. The method of claim 1, further comprising equipping the autonomous mobile robots with sensors for detecting obstacles and dynamically adjusting routing and scheduling of the autonomous mobile robots in response to detected obstacles.
9. The method of claim 1, further comprising equipping the autonomous mobile robots with manipulator arms for handling materials and optimizing the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.
10. The method of claim 1, further comprising optimizing the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.

Robotic system for material handling and logistics optimization in manufacturing facilities
Abstract
A robotic system for material handling and logistics optimization in manufacturing facilities may be included in some embodiments of the present disclosure. This robotic system may include a number of autonomous mobile robots that are capable of transporting materials between predetermined locations within the manufacturing facility. A central control system that is able to receive and analyze data pertaining to the manufacturing process, as well as determine the most efficient routing and scheduling for the autonomous mobile robots based on the data that has been evaluated, may also be included in embodiments. In other embodiments, a user interface may also be included, with the purpose of allowing real-time monitoring and control of the robotic system. , Claims:Claims
I/We Claim:
1. A robotic system for material handling and logistics optimization in manufacturing facilities, comprising: a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; and a user interface for providing real-time monitoring and control of the robotic system.
2. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with sensors for detecting obstacles, and the central control system is configured to dynamically adjust routing and scheduling of the autonomous mobile robots in response to detected obstacles.
3. The robotic system of claim 1, wherein the autonomous mobile robots are equipped with manipulator arms for handling materials, and the central control system is configured to optimize the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.
4. The robotic system of claim 1, wherein the central control system is further configured to optimize the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.
5. The robotic system of claim 1, wherein the user interface includes a graphical display showing the current location and status of each autonomous mobile robot, as well as a real-time visualization of the manufacturing process and the movement of materials within the facility.
6. The robotic system of claim 1, wherein the central control system is further configured to generate reports and analytics based on the data collected by the system, including performance metrics for the autonomous mobile robots and recommendations for further optimization of the manufacturing process.
7. A method for optimizing material handling and logistics in a manufacturing facility using a robotic system, the method comprising: providing a plurality of autonomous mobile robots capable of transporting materials between predetermined locations within the manufacturing facility; providing a central control system configured to receive and analyze data regarding the manufacturing process and determine optimal routing and scheduling for the autonomous mobile robots based on the analyzed data; providing a user interface for providing real-time monitoring and control of the robotic system; and using the central control system to optimize routing and scheduling of the autonomous mobile robots based on the analyzed data and anticipated changes in the manufacturing process.
8. The method of claim 1, further comprising equipping the autonomous mobile robots with sensors for detecting obstacles and dynamically adjusting routing and scheduling of the autonomous mobile robots in response to detected obstacles.
9. The method of claim 1, further comprising equipping the autonomous mobile robots with manipulator arms for handling materials and optimizing the allocation of materials to the autonomous mobile robots based on the location and availability of materials within the manufacturing facility.
10. The method of claim 1, further comprising optimizing the overall flow of materials within the manufacturing facility by adjusting routing and scheduling of the autonomous mobile robots based on anticipated changes in the manufacturing process.