Description:Field of the Invention:
This invention relates to an AI, ML, IoT based automated nursing robot for sick people.
BACKGROUND OF THE INVENTION:
The outbreak of COVID-19 has created a serious issue regarding patient care, especially in community and city hospitals. Both the patients and the nursing staff avoid physical contact. In the post COVID-19 era, scientists are constantly trying to create contactless patient care devices. There is a need to develop such robotic medi-care techniques that are patient-friendly and can be pre-programmed for taking care of the patients in the hospitals 24x7 using AI, ML & IoT technology.
KR20190055415A The present invention relates to a ward assistant robot apparatus capable of providing a medical service to improve patient's satisfaction and a treatment result. According to the present invention, the ward assistant robot apparatus comprises: a treatment command input unit receiving treatment information for a patient, who requires the treatment through a robot assistant; an article storage unit; a moving unit; a recognition unit identifying a bed and a patient to be treated, and identifying a doctor in charge, who treats the corresponding patient; a waste collection unit; and a control unit.
Research Gap: The proposed robot will gather and analyze massive patient data such as vital signs, medication adherence, and behavioral patterns using AI and ML techniques, and support healthcare practitioners in making educated decisions regarding patient care and treatment plans.
The nursing robot will operate continuously, providing patients with round-the-clock care and assistance. This ensures that patients have constant access to treatment and monitoring.
TW200820958A This invention relates to a medical care robot applied on medical resource automation, which is provided with a main body and a man carrying platform on a transport unit, wherein the main body is installed thereon with a video module, an examination module, and a security module, capable of being used to assist medical personnel to perform the works of remote consultation, transport service, sickroom cruise, and fire control and security. Further, the man carrying platform can also be used to transport medical care personnel or patients.
Research Gap: The Robot will be embedded with emotional sensors that can detect the human behavior, this will ensure more patient friendly treatment.
It will consist of thermal sensor, Vision node, proximity sensor and thrust/torque sensors for more personalized care.
US11200979B2 A pharmacy automation system having a robot having a hardware device and a software for internal mapping to perform simultaneous localization and mapping (SLAM) is disclosed herein. The robot is configured to use the SLAM technique to carry out at least the following different interactions: the robot communicates autonomously with a physician or an assistant directly or via an intermediary; the robot interacts with an inventory of goods and browses the inventory of goods to determine if a prescribed medication is available in the pharmacy; if the prescribed medication is available in the pharmacy, the robot interacts with a medication dispenser, using the internal mapping to fill a container with the prescribed medication, and store the container; when a patient or a proxy arrives to pick up the prescribed medication, the robot checks and approves an identification of the patient or the proxy; and when the patient or proxy presents a prescription containing the prescribed medication, the robot retrieves the container with the prescribed medication and hands the container with the prescribed medication over to the patient or proxy.
Research Gap: The Robot will be embedded with an alert system that would inform and display the information about low battery, or if no longer requires charging.
The nursing robot can mitigate the risks associated with physical patient handling, minimizing the likelihood of accidents, falls, and injuries.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is AN AI, ML, IoT BASED AUTOMATED NURSING ROBOT FOR SICK PEOPLE.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The (figure 1.1) is a robot which provide direct care to patient by assisting with task such as providing food, Health monitoring of the patient, and many other works. They can help with mobility by transferring patients from beds to chairs or assisting with rehabilitation exercises. Robotic surgical technology offers less invasive operations that are more precise and dexterous. Surgeons may be able to direct robotic arms to conduct complex procedures with fewer incisions, lowering patient stress and recuperation time. If a patient is badly infected and treatment offers a significant risk, it is vital to priorities both the patient's and the healthcare staff's safety in such situations, robots can give assistance and aid in risk reduction in the following ways like Medication and Supplies Delivery, Sterilization and disinfection, Data Collection and Monitoring, and many more through these ways there is no harmful effect on both doctor as well as on patient health.
This technical diagram represents a simplest overview of the components involved in an Automated nursing robot. This is a technical diagram for robot controlling unit which consists of controlling unit (101) it manages the overall operation of the nursing robot and it processes the data from the input module and releases output according to the program, in the hospital in every room there is a patient’s bed and every patient bed have their own unique ID through UID robot can give them food and also monitor her health. A thermal sensor (103) can detect food temperature to ensure that it is served at the appropriate temperature, A force/torque sensor (106) can provide data on the amount of force utilized during meal delivery it ensures that the robot utilizes the correct amount of force when serving meals to avoid spills or mistakes, Pressure sensors (104) can be included into the robot's arms, hands, or specialist grippers to compute the correct pressure required for delicate actions such as lifting or administering medication, Proximity sensors (105) such as ultrasonic or infrared, can help the robot recognize obstacles and prevent collisions by increase the safety of the robot and help it to avoid mistakes, vital sigh sensor (108) it monitoring vital signs such as respiration and heart rate is crucial for early detection and even prediction of diseases that may have an impact on the patient's well-being contact-based vital sign sensing techniques and contactless vital sign sensing techniques exist, Environmental Sensor (109) Environmental sensors, which employ gas sensors, are used to measure, monitor, and record environmental variables such as temperature, humidity, heat losses, and food degradation detection, Motion sensor (110) Accelerometers and gyroscopes, for example, can be used to track the robot's movement and posture. They enable the robot to remain steady and perform tasks precisely and the power supply (107) supplies electrical power to various sections of the robot, ensuring that each component has enough power to function effectively. This includes providing power to the robot's motors, actuators, sensors, control units, communication modules, and other components and LoRa make the communication between the among sensor.
This figure 1.3 DATA SHARING OF PATIENT in this the data that robot collects according to the health of patient it sends all the data to controlling unit (101) it manages the overall operation of the nursing robot and it processes the data from the input module and releases output according to the program, to cloud server (201) via internet and the reports of the patient will be accessed by the doctor as well as hospital and LoRa make the communication.
The Robot Control Unit is in charge of the overall control of the nursing robot. It accepts cloud platform orders and data and coordinates the actions of the robot. Data processing evaluates and prepares sensor data for subsequent analysis and interpretation. The cloud platform teaches AI and ML algorithms, which are responsible for the nursing robot's AI and ML skills. AI algorithms enable the robot to make intelligent decisions, while machine learning algorithms enable it to learn and improve over time. AI Inference and ML Inference: These modules perform real-time inference using learnt AI and ML models. The act of making decisions based on input data is known as AI inference, whereas the process of predicting outcomes or detecting patterns in data is known as ML inference. The nurse robot's physical movement and manipulation abilities are managed by the robotics module. It translates the outcomes of AI and ML algorithms into appropriate actions. Sensory Information the sensors on the robot collect data from its surroundings, such as vital signs, patient status, and environmental factors. These data are used to make choices and conduct studies. The Actuators and Motor Controls module regulates the robot's actuators and motors, enabling it to do physical tasks including lifting, moving, and caring for patients. Sensor Data Processing: This module filters, calibrates, and normalizes raw sensor data in order to provide accurate and reliable input for analysis and decision-making.

BREIF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE1.1 AN AI, ML, IoT BASED AUTOMATED NURSING ROBOT FOR SICK PEOPLE
FIGURE1.2(ROBOT SENSING UNIT)
FIGURE 1.3 (DATA SHARING OF PATIENT)
FIGURE1.4 (ROBOT PROCESSING UNIT)
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
< The (figure 1.1) is a robot which provide direct care to patient by assisting with task such as providing food, Health monitoring of the patient, and many other works. They can help with mobility by transferring patients from beds to chairs or assisting with rehabilitation exercises. Robotic surgical technology offers less invasive operations that are more precise and dexterous. Surgeons may be able to direct robotic arms to conduct complex procedures with fewer incisions, lowering patient stress and recuperation time. If a patient is badly infected and treatment offers a significant risk, it is vital to priorities both the patient's and the healthcare staff's safety in such situations, robots can give assistance and aid in risk reduction in the following ways like Medication and Supplies Delivery, Sterilization and disinfection, Data Collection and Monitoring, and many more through these ways there is no harmful effect on both doctor as well as on patient health.
This technical diagram represents a simplest overview of the components involved in an Automated nursing robot. This is a technical diagram for robot controlling unit which consists of controlling unit (101) it manages the overall operation of the nursing robot and it processes the data from the input module and releases output according to the program, in the hospital in every room there is a patient’s bed and every patient bed have their own unique ID through UID robot can give them food and also monitor her health. A thermal sensor (103) can detect food temperature to ensure that it is served at the appropriate temperature, A force/torque sensor (106) can provide data on the amount of force utilized during meal delivery it ensures that the robot utilizes the correct amount of force when serving meals to avoid spills or mistakes, Pressure sensors (104) can be included into the robot's arms, hands, or specialist grippers to compute the correct pressure required for delicate actions such as lifting or administering medication, Proximity sensors (105) such as ultrasonic or infrared, can help the robot recognize obstacles and prevent collisions by increase the safety of the robot and help it to avoid mistakes, vital sigh sensor (108) it monitoring vital signs such as respiration and heart rate is crucial for early detection and even prediction of diseases that may have an impact on the patient's well-being contact-based vital sign sensing techniques and contactless vital sign sensing techniques exist, Environmental Sensor (109) Environmental sensors, which employ gas sensors, are used to measure, monitor, and record environmental variables such as temperature, humidity, heat losses, and food degradation detection, Motion sensor (110) Accelerometers and gyroscopes, for example, can be used to track the robot's movement and posture. They enable the robot to remain steady and perform tasks precisely and the power supply (107) supplies electrical power to various sections of the robot, ensuring that each component has enough power to function effectively. This includes providing power to the robot's motors, actuators, sensors, control units, communication modules, and other components and LoRa make the communication between the among sensor.
This figure 1.3 DATA SHARING OF PATIENT in this the data that robot collects according to the health of patient it sends all the data to controlling unit (101) it manages the overall operation of the nursing robot and it processes the data from the input module and releases output according to the program, to cloud server (201) via internet and the reports of the patient will be accessed by the doctor as well as hospital and LoRa make the communication.
The Robot Control Unit is in charge of the overall control of the nursing robot. It accepts cloud platform orders and data and coordinates the actions of the robot. Data processing evaluates and prepares sensor data for subsequent analysis and interpretation. The cloud platform teaches AI and ML algorithms, which are responsible for the nursing robot's AI and ML skills. AI algorithms enable the robot to make intelligent decisions, while machine learning algorithms enable it to learn and improve over time. AI Inference and ML Inference: These modules perform real-time inference using learnt AI and ML models. The act of making decisions based on input data is known as AI inference, whereas the process of predicting outcomes or detecting patterns in data is known as ML inference. The nurse robot's physical movement and manipulation abilities are managed by the robotics module. It translates the outcomes of AI and ML algorithms into appropriate actions. Sensory Information the sensors on the robot collect data from its surroundings, such as vital signs, patient status, and environmental factors. These data are used to make choices and conduct studies. The Actuators and Motor Controls module regulates the robot's actuators and motors, enabling it to do physical tasks including lifting, moving, and caring for patients. Sensor Data Processing: This module filters, calibrates, and normalizes raw sensor data in order to provide accurate and reliable input for analysis and decision-making.

ADVANTAGES OF THE INVENTION:
• Availability 7 days a week, 24 hours a day, the nursing robot may operate continuously, providing patients with round-the-clock care and assistance. This ensures that patients have constant access to treatment and monitoring, which improves their safety and well-being.
• Consistency and dependability at all times, the robot follows pre-programmed processes, ensuring that patients receive consistent treatment. It lowers the possibility of human mistake and unpredictability in caring, hence enhancing the overall quality and dependability of healthcare services.
• Savings in time and effort Medication reminders, vital sign monitoring, and basic caregiving tasks performed by the robot free up time for healthcare workers to focus on more difficult and critical obligations. This increases the efficiency of healthcare delivery and allows medical practitioners to better allocate their time and expertise.
• Improved Patient Safety the nursing robot can mitigate the risks associated with physical patient handling, minimizing the likelihood of accidents, falls, and injuries. It may also detect crises and promptly notify healthcare workers, ensuring an early reaction and improving patient safety.
• An alert system will be embedded in the robot that would verbally inform in case of low battery as well as when charged to full capacity.
, Claims:We Claim:
1. An AI, ML, IoT based automated nursing robot for sick people comprises Controlling Unit (101), Camera (102), Thermal Sensor (103), Pressure Sensor (104), Proximity Sensor (105), Force/Torque Detection Sensor (106), Power Supply (107), Vital Sign Sign Sensor (108), Environmental Sensor (109), Monitor Sensor (110)
2. The system as claimed in claim 1, wherein the robot gathers and analyses massive volumes of patient data, such as vital signs, medication adherence, and behavioral patterns.
3. The system as claimed in claim 1, wherein AI and ML systems analyze this data to identify patterns, find abnormalities, and support healthcare practitioners in making educated decisions regarding patient care and treatment plans.
4. The system as claimed in claim 1, wherein Patients requiring long-term care or are socially isolated can benefit from emotional support from the robot.; which are chat, entertain, and offer companionship to patients, all of which benefit to their overall well-being and mental health.
5. The system as claimed in claim 1, wherein. the robot can converse with patients in a fun and user-friendly way ; which educates patients, address their problems, and encourage them to participate in their own therapy, resulting in a sense of empowerment and involvement in the healing process