AUTONOMOUS ROBOTS FOR PHARMACY AUTOMATION AND DRUG DISPENSING

Abstract

WE CLAIM: 1. An autonomous robotic system for pharmacy automation and drug dispensing 100 comprising of robotic arm and mobility platform 102 to navigate the pharmacy environment and handle medications with precision; vision and sensor systems 104 to identify, verify, and track medications accurately; artificial intelligence and machine learning algorithms 106 to optimize dispensing operations and enable adaptive learning; user interface and integration module 108 to facilitate user interaction and manage system integration; safety and compliance features 110 to ensure safe operation and adherence to regulatory standards; inventory management system 112 to monitor stock levels and initiate reordering when needed; dynamic path planning system 114 to calculate optimal navigation routes and avoid obstacles; patient-centric interaction module 116 to provide medication information and enhance patient engagement; blockchain-enabled drug tracking system 118 to ensure secure and transparent tracking of medications; telehealth integration module 120 to enable remote pharmacist-patient consultations; customizable dispensing mechanisms 122 to handle various forms of medications like tablets and liquids; predictive analytics engine 124 to forecast medication demand based on historical and trend data; energy-efficient power management system 126 to reduce energy consumption during operations; remote monitoring and maintenance module 128 to oversee performance and troubleshoot issues in real-time; interactive training mode 130 to allow staff to simulate and practice system operations. 2. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein robotic arm and mobility platform 102 are configured to autonomously navigate the pharmacy environment using dynamic mobility algorithms, retrieve medications with high precision, and adapt to varying layouts and obstacle changes, ensuring continuous operational efficiency. 3. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein vision and sensor systems 104 are configured to identify and verify medications using multi-modal sensors, including RFID, barcode scanning, and high-resolution imaging, enabling accurate identification regardless of packaging variations, environmental conditions, or storage arrangements. 4. The autonomous robotic system for pharmacy automation and drug dispensing 100, wherein artificial intelligence and machine learning algorithms 106 are configured to continuously optimize dispensing workflows, adapt to inventory fluctuations, and learn operational patterns, ensuring improved accuracy and reducing dispensing errors over time. 5. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein inventory management system 112 is configured to monitor stock levels in real-time, integrate predictive analytics to forecast medication demand, and initiate automated reordering, ensuring uninterrupted availability of medications and preventing stock shortages or excesses. 6. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein dynamic path planning system 114 is configured to calculate optimal navigation routes for robotic arm and mobility platform 102, dynamically avoid obstacles in real-time, and optimize task completion time by minimizing unnecessary movement within the pharmacy environment. 7. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein blockchain-enabled drug tracking system 118 is configured to create an immutable and secure record of medication transactions, ensuring compliance with regulatory standards, preventing counterfeit drugs, and enabling full traceability within the pharmaceutical supply chain. 8. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein patient-centric interaction module 116 is configured to provide real-time medication information, usage instructions, and alerts for potential drug interactions through an interactive interface, enhancing patient safety, education, and engagement. 9. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein customizable dispensing mechanisms 122 are configured to accommodate a wide range of medication forms, including tablets, capsules, liquids, and injectables, ensuring precise dispensing and adaptability to the diverse needs of pharmacy operations. 10. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein method comprises of user inputting prescription details into the user interface and integration module 108; user interface and integration module 108 processing the prescription details and sending the required medication data to inventory management system 112 and predictive analytics engine 124; inventory management system 112 verifying the availability of the required medication in the inventory using data from vision and sensor systems 104; inventory management system 112 generating alerts if stock levels are below the threshold and initiating automatic reordering if needed; dynamic path planning system 114 calculating the optimal route for robotic arm and mobility platform 102 to retrieve the required medication, avoiding obstacles in real-time; robotic arm and mobility platform 102 autonomously navigating to the designated storage area, guided by dynamic path planning system 114, and using vision and sensor systems 104 to locate and pick the correct medication; customizable dispensing mechanisms 122 accurately counting the required quantity of medication and preparing the medication for packaging; the system generating medication labels using user interface and integration module 108, which comprise dosage instructions, patient information, and other relevant details; robotic arm and mobility platform 102 transporting the packaged medication to the dispensing area for pickup or delivery; blockchain-enabled drug tracking system 118 recording transaction details, creating a secure and traceable log for compliance and transparency; patient-centric interaction module 116 optionally providing patients with medication information, usage instructions, and alerts about potential drug interactions; telehealth integration module 120 enabling remote consultation between pharmacists and patients for resolving queries or discussing prescriptions; predictive analytics engine 124 forecasting future medication demand based on historical data and local health trends, ensuring pharmacies remain stocked appropriately; energy-efficient power management system 126 optimizing the energy usage of robotic components, ensuring sustainability during operations; safety and compliance features 110 monitoring the entire process for errors, collisions, or safety concerns, and halting operations if irregularities are detected; remote monitoring and maintenance module 128 allowing pharmacy staff or technical teams to oversee system performance and address any operational issues in real-time; interactive training mode 130 allowing staff to simulate different scenarios to gain familiarity with the robotic system and ensure smooth integration into pharmacy workflows.

Specification

Description:Autonomous Robots for Pharmacy Automation and Drug Dispensing
TECHNICAL FIELD
[0001] The present innovation relates to the field of pharmacy automation and drug dispensing, specifically focusing on autonomous robotic systems utilizing artificial intelligence and machine learning for optimized medication management.

BACKGROUND

[0002] The process of medication dispensing in pharmacies is critical to patient care but is often fraught with challenges, including human error, inefficiencies, and inventory mismanagement. Traditional manual processes require pharmacists and technicians to select, count, and package medications, often under high-pressure, high-volume conditions. These methods are not only time-consuming but also prone to errors that can lead to adverse drug events, impacting patient safety and increasing healthcare costs. Existing options, such as semi-automated dispensing machines, provide some relief but are limited in scope, often requiring significant manual oversight and failing to integrate seamlessly with pharmacy management systems. Additionally, these systems lack adaptability, making them unsuitable for diverse pharmacy environments or medication forms.

[0003] The proposed autonomous robotic system addresses these challenges by leveraging advanced artificial intelligence (AI), machine learning, and sensor technologies. Unlike existing solutions, this invention integrates a robotic arm with precise mobility, a multi-modal vision system, and adaptive learning algorithms to autonomously navigate pharmacy environments, retrieve medications, and perform real-time inventory management. The system's novelty lies in its ability to continuously optimize its operations based on historical data, ensuring accuracy and efficiency while reducing human intervention. Features such as real-time inventory tracking, scalable modular design, and compliance with regulatory standards further differentiate this invention.

[0004] By automating repetitive tasks like counting, labeling, and dispensing, the system allows pharmacy staff to focus on higher-value activities, such as patient counseling. The invention also overcomes drawbacks of existing solutions by offering seamless integration with pharmacy management software, robust safety mechanisms, and adaptability to various pharmacy sizes and workflows. Its ability to handle diverse medication forms, combined with patient-centric features such as telehealth integration and blockchain-enabled drug tracking, underscores its potential to transform pharmacy operations, enhance patient safety, and promote efficiency across the healthcare sector.

OBJECTS OF THE INVENTION

[0005] The primary object of the invention is to enhance pharmacy operations by automating the medication dispensing process, thereby reducing human errors and ensuring patient safety.

[0006] Another object of the invention is to improve workflow efficiency in pharmacies by streamlining repetitive tasks, such as medication selection, counting, and packaging.

[0007] Another object of the invention is to enable real-time inventory management through advanced sensor integration, reducing medication shortages and preventing overstocking.

[0008] Another object of the invention is to provide a scalable and adaptable robotic system that can be customized for various pharmacy sizes, layouts, and operational requirements.
[0009] Another object of the invention is to enhance patient care by allowing pharmacists to focus on high-value tasks, such as patient consultations and medication therapy management, instead of routine dispensing duties.

[00010] Another object of the invention is to ensure regulatory compliance by integrating safety checks, medication verification, and robust data management systems.

[00011] Another object of the invention is to offer a patient-centric approach by including features such as telehealth integration and real-time medication guidance for improved patient engagement and education.

[00012] Another object of the invention is to address the limitations of existing pharmacy automation systems by providing a fully autonomous solution that seamlessly integrates with existing pharmacy management software.

[00013] Another object of the invention is to improve medication traceability and security through blockchain-enabled drug tracking, ensuring transparency and accountability in the supply chain.

[00014] Another object of the invention is to promote sustainability and cost-effectiveness by optimizing resource usage, reducing waste, and employing energy-efficient technologies in pharmacy automation.

SUMMARY OF THE INVENTION

[00015] In accordance with the different aspects of the present invention, autonomous robots for pharmacy automation and drug dispensing is presented. It is designed to automate pharmacy operations, including medication dispensing, inventory management, and regulatory compliance. Leveraging advanced AI, machine learning, and sensor technologies, the system ensures accurate medication selection, counting, and packaging while seamlessly integrating with pharmacy management software. Its scalable and adaptable design caters to various pharmacy sizes and workflows, promoting efficiency and reducing human errors. Patient-centric features such as telehealth integration and blockchain-enabled drug tracking enhance safety and engagement. The invention transforms pharmacy automation, improving healthcare delivery and operational sustainability.

[00016] Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments constructed in conjunction with the appended claims that follow.

[00017] It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.

BRIEF DESCRIPTION OF DRAWINGS
[00018] The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.

[00019] Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

[00020] FIG. 1 is component wise drawing for autonomous robots for pharmacy automation and drug dispensing.

[00021] FIG 2 is working methodology of autonomous robots for pharmacy automation and drug dispensing.

DETAILED DESCRIPTION

[00022] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.

[00023] The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of autonomous robots for pharmacy automation and drug dispensing and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[00024] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.

[00025] The terms "comprises", "comprising", "include(s)", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, or system that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by "comprises... a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.

[00026] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings and which are shown by way of illustration-specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[00027] The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.

[00028] Referring to Fig. 1, autonomous robots for pharmacy automation and drug dispensing 100 is disclosed in accordance with one embodiment of the present invention. It comprises of robotic arm and mobility platform 102, vision and sensor systems 104, artificial intelligence and machine learning algorithms 106, user interface and integration module 108, safety and compliance features 110, inventory management system 112, dynamic path planning system 114, patient-centric interaction module 116, blockchain-enabled drug tracking system 118, telehealth integration module 120, customizable dispensing mechanisms 122, predictive analytics engine 124, energy-efficient power management system 126, remote monitoring and maintenance module 128, interactive training mode 130.

[00029] Referring to Fig. 1, the present disclosure provides details of an autonomous robotic system for pharmacy automation and drug dispensing 100. It is a system designed to enhance pharmacy operations using advanced artificial intelligence, machine learning, and robotic automation. It enables precise medication dispensing, real-time inventory management, and seamless integration with pharmacy management systems. In one of the embodiments, the autonomous robotic system for pharmacy automation and drug dispensing 100 may be provided with the following key components such as robotic arm and mobility platform 102, vision and sensor systems 104, and artificial intelligence and machine learning algorithms 106, facilitating accurate medication selection and dispensing. The system incorporates user interface and integration module 108 and safety and compliance features 110 to ensure ease of operation and regulatory adherence. It also features inventory management system 112 and dynamic path planning system 114 for workflow optimization and real-time stock monitoring. Additional components such as blockchain-enabled drug tracking system 118 and telehealth integration module 120 enhance traceability and patient care.

[00030] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with robotic arm and mobility platform 102, which is responsible for the precise picking, counting, and dispensing of medications. The robotic arm and mobility platform 102 is capable of intricate movements, ensuring accuracy in handling various medication forms. Mounted on a mobile platform, it autonomously navigates the pharmacy environment, avoiding obstacles and reaching designated storage areas. The robotic arm and mobility platform 102 work closely with vision and sensor systems 104 to accurately locate and retrieve medications. Its integration with artificial intelligence and machine learning algorithms 106 ensures optimal operation and learning from dispensing patterns.
[00031] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with vision and sensor systems 104, which play a critical role in medication identification and verification. Equipped with high-resolution cameras, RFID, and barcode scanners, these systems ensure precise selection and tracking of medications. The vision and sensor systems 104 interact seamlessly with robotic arm and mobility platform 102 to locate and pick medications accurately. Additionally, these systems feed real-time data to artificial intelligence and machine learning algorithms 106 for adaptive learning and enhanced dispensing accuracy.

[00032] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with artificial intelligence and machine learning algorithms 106, which drive decision-making and optimize workflow efficiency. These algorithms analyze data from vision and sensor systems 104 to improve medication selection and dispensing accuracy. They also enable dynamic learning, adapting to changes in inventory and dispensing patterns. The artificial intelligence and machine learning algorithms 106 work in tandem with user interface and integration module 108 to process prescription details and ensure seamless operation.

[00033] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with user interface and integration module 108, which facilitates interaction between pharmacy staff and the robotic system. This module allows staff to input prescription details, monitor dispensing processes, and manage inventory. The user interface and integration module 108 integrates with inventory management system 112 to ensure real-time updates on stock levels. It also interacts with safety and compliance features 110 to verify that dispensing operations adhere to regulatory standards.

[00034] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with safety and compliance features 110, which ensure safe operation and adherence to healthcare regulations. These features are emergency stop buttons, collision detection systems, and automated compliance checks. Safety and compliance features 110 monitor operations in coordination with robotic arm and mobility platform 102 to prevent accidents. They also validate medication accuracy by cross-referencing data from vision and sensor systems 104 before dispensing.

[00035] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with inventory management system 112, which ensures real-time monitoring and management of medication stock levels. This system tracks inventory using data from vision and sensor systems 104 to identify stock quantities and expiration dates. The inventory management system 112 generates alerts for low stock levels and facilitates automatic reordering to prevent shortages. It works closely with user interface and integration module 108 to provide pharmacy staff with inventory insights. Additionally, it interacts with predictive analytics engine 124 to forecast medication demand based on historical usage patterns.

[00036] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with dynamic path planning system 114, which enables the robot to navigate efficiently within the pharmacy environment. This system uses advanced algorithms to determine optimal routes for the robotic arm and mobility platform 102 while avoiding obstacles. The dynamic path planning system 114 works in conjunction with vision and sensor systems 104 to detect changes in the environment and adjust paths in real-time. It ensures smooth coordination with inventory management system 112 to retrieve medications from designated locations without delays.

[00037] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with patient-centric interaction module 116, which enhances patient engagement and medication education. This module provides information about medications, including usage instructions and potential side effects, through an interactive interface. The patient-centric interaction module 116 integrates with user interface and integration module 108 to deliver tailored information to patients. It also supports telehealth integration module 120 to enable remote consultations with pharmacists, ensuring personalized patient care.

[00038] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with blockchain-enabled drug tracking system 118, which ensures secure and transparent tracking of medication transactions. This system records each step of the medication dispensing process, creating an immutable record to prevent counterfeit drugs and ensure compliance. The blockchain-enabled drug tracking system 118 interacts with inventory management system 112 to maintain a traceable medication history. It also integrates with predictive analytics engine 124 to analyze data trends and improve inventory accuracy.

[00039] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with telehealth integration module 120, which facilitates virtual consultations between pharmacists and patients. This module connects the robotic system to telehealth platforms, enabling pharmacists to discuss prescriptions, dosage instructions, and potential drug interactions remotely. The telehealth integration module 120 works alongside patient-centric interaction module 116 to enhance accessibility and support patient engagement. It also communicates with user interface and integration module 108 for seamless coordination of prescription and consultation data.

[00040] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with customizable dispensing mechanisms 122, which cater to a variety of medication forms such as tablets, capsules, liquids, and injectables. These mechanisms are adaptable and ensure precise dispensing regardless of medication type. The customizable dispensing mechanisms 122 are controlled by robotic arm and mobility platform 102 for accurate handling. They are further supported by vision and sensor systems 104 to verify medication type and ensure proper dispensing.

[00041] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with predictive analytics engine 124, which forecasts medication demand and optimizes inventory levels. This engine analyzes historical data, seasonal trends, and local health statistics to predict future medication requirements. The predictive analytics engine 124 integrates with inventory management system 112 to streamline reordering and prevent stockouts. It also works with blockchain-enabled drug tracking system 118 to ensure traceability and accuracy in inventory predictions.

[00042] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with energy-efficient power management system 126, which minimizes the robot's energy consumption during operation. This system uses smart power management features to optimize energy usage while maintaining performance. The energy-efficient power management system 126 interacts with robotic arm and mobility platform 102 to ensure smooth operation without excessive power use. It aligns with sustainable practices and supports the overall efficiency of the system.

[00043] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with remote monitoring and maintenance module 128, which enables real-time oversight of the system's performance. This module allows pharmacy staff or technical support teams to remotely diagnose and resolve issues, minimizing downtime. The remote monitoring and maintenance module 128 integrates with user interface and integration module 108 to provide real-time performance updates. It also ensures coordination with safety and compliance features 110 to detect and address potential operational issues.

[00044] Referring to Fig. 1, autonomous robotic system for pharmacy automation and drug dispensing 100 is provided with interactive training mode 130, which allows pharmacy staff to simulate scenarios and learn to operate the system effectively. This feature provides hands-on training for new users, ensuring familiarity with the robotic system's functionality. The interactive training mode 130 works closely with user interface and integration module 108 to create a seamless training experience. It also incorporates data from vision and sensor systems 104 to simulate real-world dispensing scenarios accurately.

[00045] Referring to Fig 2, there is illustrated method 200 for autonomous robotic system for pharmacy automation and drug dispensing 100. The method comprises:
At step 202, method 200 includes user inputting prescription details into the user interface and integration module 108;
At step 204, method 200 includes user interface and integration module 108 processing the prescription details and sending the required medication data to inventory management system 112 and predictive analytics engine 124;
At step 206, method 200 includes inventory management system 112 verifying the availability of the required medication in the inventory using data from vision and sensor systems 104;
At step 208, method 200 includes inventory management system 112 generating alerts if stock levels are below the threshold and initiating automatic reordering if needed;
At step 210, method 200 includes dynamic path planning system 114 calculating the optimal route for robotic arm and mobility platform 102 to retrieve the required medication, avoiding obstacles in real-time;
At step 212, method 200 includes robotic arm and mobility platform 102 autonomously navigating to the designated storage area, guided by dynamic path planning system 114, and using vision and sensor systems 104 to locate and pick the correct medication;
At step 214, method 200 includes customizable dispensing mechanisms 122 accurately counting the required quantity of medication and preparing the medication for packaging;
At step 216, method 200 includes the system generating medication labels using user interface and integration module 108, which include dosage instructions, patient information, and other relevant details;
At step 218, method 200 includes robotic arm and mobility platform 102 transporting the packaged medication to the dispensing area for pickup or delivery;
At step 220, method 200 includes blockchain-enabled drug tracking system 118 recording transaction details, creating a secure and traceable log for compliance and transparency;
At step 222, method 200 includes patient-centric interaction module 116 optionally providing patients with medication information, usage instructions, and alerts about potential drug interactions;
At step 224, method 200 includes telehealth integration module 120 enabling remote consultation between pharmacists and patients for resolving queries or discussing prescriptions;
At step 226, method 200 includes predictive analytics engine 124 forecasting future medication demand based on historical data and local health trends, ensuring pharmacies remain stocked appropriately;
At step 228, method 200 includes energy-efficient power management system 126 optimizing the energy usage of robotic components, ensuring sustainability during operations;
At step 230, method 200 includes safety and compliance features 110 monitoring the entire process for errors, collisions, or safety concerns, and halting operations if irregularities are detected;
At step 232, method 200 includes remote monitoring and maintenance module 128 allowing pharmacy staff or technical teams to oversee system performance and address any operational issues in real-time;
At step 234, method 200 includes interactive training mode 130 allowing staff to simulate different scenarios to gain familiarity with the robotic system and ensure smooth integration into pharmacy workflows.

[00046] The autonomous robotic system for pharmacy automation and drug dispensing 100 offers significant advantages by enhancing accuracy, efficiency, and safety in pharmacy operations. The robotic arm and mobility platform 102 ensures precise medication handling and autonomous navigation, reducing the risk of human errors. Vision and sensor systems 104 accurately identify and verify medications, even in complex environments, while artificial intelligence and machine learning algorithms 106 continuously optimize workflows, improving operational efficiency over time. The inventory management system 112 maintains real-time stock levels, prevents shortages through automated reordering, and reduces medication waste. Blockchain-enabled drug tracking system 118 ensures secure and transparent tracking of medications, enhancing compliance and preventing counterfeit drugs. Patient-centric interaction module 116 improves patient engagement by providing real-time medication information and usage instructions, while telehealth integration module 120 enables remote consultations, increasing accessibility. Additionally, energy-efficient power management system 126 minimizes energy consumption, promoting sustainability, and interactive training mode 130 ensures smooth system integration by training pharmacy staff effectively.

[00047] In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "fixed" "attached" "disposed," "mounted," and "connected" are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

[00048] Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.

[00049] Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.
, Claims:WE CLAIM:
1. An autonomous robotic system for pharmacy automation and drug dispensing 100 comprising of
robotic arm and mobility platform 102 to navigate the pharmacy environment and handle medications with precision;
vision and sensor systems 104 to identify, verify, and track medications accurately;
artificial intelligence and machine learning algorithms 106 to optimize dispensing operations and enable adaptive learning;
user interface and integration module 108 to facilitate user interaction and manage system integration;
safety and compliance features 110 to ensure safe operation and adherence to regulatory standards;
inventory management system 112 to monitor stock levels and initiate reordering when needed;
dynamic path planning system 114 to calculate optimal navigation routes and avoid obstacles;
patient-centric interaction module 116 to provide medication information and enhance patient engagement;
blockchain-enabled drug tracking system 118 to ensure secure and transparent tracking of medications;
telehealth integration module 120 to enable remote pharmacist-patient consultations;
customizable dispensing mechanisms 122 to handle various forms of medications like tablets and liquids;
predictive analytics engine 124 to forecast medication demand based on historical and trend data;
energy-efficient power management system 126 to reduce energy consumption during operations;
remote monitoring and maintenance module 128 to oversee performance and troubleshoot issues in real-time;
interactive training mode 130 to allow staff to simulate and practice system operations.
2. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein robotic arm and mobility platform 102 are configured to autonomously navigate the pharmacy environment using dynamic mobility algorithms, retrieve medications with high precision, and adapt to varying layouts and obstacle changes, ensuring continuous operational efficiency.

3. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein vision and sensor systems 104 are configured to identify and verify medications using multi-modal sensors, including RFID, barcode scanning, and high-resolution imaging, enabling accurate identification regardless of packaging variations, environmental conditions, or storage arrangements.

4. The autonomous robotic system for pharmacy automation and drug dispensing 100, wherein artificial intelligence and machine learning algorithms 106 are configured to continuously optimize dispensing workflows, adapt to inventory fluctuations, and learn operational patterns, ensuring improved accuracy and reducing dispensing errors over time.

5. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein inventory management system 112 is configured to monitor stock levels in real-time, integrate predictive analytics to forecast medication demand, and initiate automated reordering, ensuring uninterrupted availability of medications and preventing stock shortages or excesses.

6. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein dynamic path planning system 114 is configured to calculate optimal navigation routes for robotic arm and mobility platform 102, dynamically avoid obstacles in real-time, and optimize task completion time by minimizing unnecessary movement within the pharmacy environment.

7. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein blockchain-enabled drug tracking system 118 is configured to create an immutable and secure record of medication transactions, ensuring compliance with regulatory standards, preventing counterfeit drugs, and enabling full traceability within the pharmaceutical supply chain.

8. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein patient-centric interaction module 116 is configured to provide real-time medication information, usage instructions, and alerts for potential drug interactions through an interactive interface, enhancing patient safety, education, and engagement.

9. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein customizable dispensing mechanisms 122 are configured to accommodate a wide range of medication forms, including tablets, capsules, liquids, and injectables, ensuring precise dispensing and adaptability to the diverse needs of pharmacy operations.


10. The autonomous robotic system for pharmacy automation and drug dispensing 100 as claimed in claim 1, wherein method comprises of
user inputting prescription details into the user interface and integration module 108;
user interface and integration module 108 processing the prescription details and sending the required medication data to inventory management system 112 and predictive analytics engine 124;
inventory management system 112 verifying the availability of the required medication in the inventory using data from vision and sensor systems 104;
inventory management system 112 generating alerts if stock levels are below the threshold and initiating automatic reordering if needed;
dynamic path planning system 114 calculating the optimal route for robotic arm and mobility platform 102 to retrieve the required medication, avoiding obstacles in real-time;
robotic arm and mobility platform 102 autonomously navigating to the designated storage area, guided by dynamic path planning system 114, and using vision and sensor systems 104 to locate and pick the correct medication;
customizable dispensing mechanisms 122 accurately counting the required quantity of medication and preparing the medication for packaging;
the system generating medication labels using user interface and integration module 108, which comprise dosage instructions, patient information, and other relevant details;
robotic arm and mobility platform 102 transporting the packaged medication to the dispensing area for pickup or delivery;
blockchain-enabled drug tracking system 118 recording transaction details, creating a secure and traceable log for compliance and transparency;
patient-centric interaction module 116 optionally providing patients with medication information, usage instructions, and alerts about potential drug interactions;
telehealth integration module 120 enabling remote consultation between pharmacists and patients for resolving queries or discussing prescriptions;
predictive analytics engine 124 forecasting future medication demand based on historical data and local health trends, ensuring pharmacies remain stocked appropriately;
energy-efficient power management system 126 optimizing the energy usage of robotic components, ensuring sustainability during operations;
safety and compliance features 110 monitoring the entire process for errors, collisions, or safety concerns, and halting operations if irregularities are detected;
remote monitoring and maintenance module 128 allowing pharmacy staff or technical teams to oversee system performance and address any operational issues in real-time;
interactive training mode 130 allowing staff to simulate different scenarios to gain familiarity with the robotic system and ensure smooth integration into pharmacy workflows.

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