Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a bag carrying machine and particularly to an Artificial Intelligence (AI) based bag carrying machine.
Description of Related Art
[002] In recent years, there has been growing concern about the adverse health effects caused by heavy school bags. Many schoolchildren are needed to carry backpacks weighing significantly more than the recommended limits, often ranging between 10-20% of their body weight or higher. This disproportionate load places excessive strain on their growing bodies, leading to a range of musculoskeletal issues, including back pain, shoulder discomfort, and poor posture development. Prolonged exposure to these conditions can further result in chronic pain and spinal deformities, particularly during the critical growth stages of childhood and adolescence.
[003] The problem is further worsened by modern academic demands, which require students to carry multiple books, notebooks, stationery, lunch boxes, and sometimes electronic devices like laptops and tablets. Additionally, the uneven distribution of weight or improper carrying techniques further contribute to the discomfort and potential harm. Various solutions have been proposed to address this issue, such as backpacks with wide, padded shoulder straps, chest or waist belts, and ergonomic designs aimed at evenly distributing weight across the body. While these solutions provide some relief, they do not cut root cause—excessive weight of the bag itself.
[004] Another commonly adopted alternative is the use of wheeled trolley bags that allow children to pull their school bags instead of carrying them on their backs. However, these trolleys present significant limitations in practical usage, including terrain limitations where trolley wheels are often ineffective on uneven surfaces such as gravel, dirt paths, or staircases. Trolleys can be cumbersome in crowded spaces such as classrooms, narrow hallways, and public transportation. The rigid structure of trolleys adds to the bulk and makes storage inconvenient when not in use. Additionally, trolley bags still require significant effort to pull, particularly for younger children or when traversing inclined surfaces.
[005] Given these limitations, there remains a significant need for a more practical, efficient, and portable device that can aid in carrying school bags without compromising ease of movement.
[006] There is thus a need for an improved and advanced Artificial Intelligence (AI) based bag carrying machine that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[007] Embodiments in accordance with the present invention provide an Artificial Intelligence (AI) based bag carrying machine. The machine comprising: a base unit. The base unit comprising: a load-carrying platform adapted to carry a load; motorized wheels adapted to be operable over varied terrains; straps commutatively attached to the load-carrying platform, adapted to be worn by a carrier; and a power supply unit adapted to provide an operational power to the machine. The machine further comprising: a load balancing unit adapted to capture load data of the load being carried by the load-carrying platform, and terrain data by monitoring terrain conditions. The machine further comprising: a controller. The controller is configured to: receive the captured load data and the terrain data from the load balancing unit; determine a predictive strain on a body part of the carrier based on the received load data and the terrain data using an Artificial Intelligence (AI) technology; trigger the load balancing unit to mitigate an impact of the load on the carrier by dynamically distributing the load; and actuate a motor, through the operational power received from the power supply unit, to adjust a torque and a movement of the motorized wheels based on the load data and the terrain conditions.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide an Artificial Intelligence (AI) based bag carrying machine.
[009] Next, embodiments of the present application may provide a bag carrying machine that reduces the physical strain on a child’s shoulders, back, and spine.
[0010] Next, embodiments of the present application may provide a bag carrying machine that is adapted for various body types and bag weights.
[0011] Next, embodiments of the present application may provide a bag carrying machine that is lightweight and easy-to-use.
[0012] Next, embodiments of the present application may provide a bag carrying machine that that can operate both manually and automatically to suit different conditions.
[0013] Next, embodiments of the present application may provide a bag carrying machine that integrates safety and comfort features, ensuring the bag carrying machine is safe for children’s use and improves their posture
[0014] Next, embodiments of the present application may provide a bag carrying machine that is designed to be operated on different terrains such as smooth floors, rough paths, stairs cases without impeding a child’s natural gait.
[0015] These and other advantages will be apparent from the present application of the embodiments described herein.
[0016] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0018] FIG. 1A illustrates an Artificial Intelligence (AI) based bag carrying machine, according to an embodiment of the present invention;
[0019] FIG. 1B illustrates a block diagram of a base unit of the Artificial Intelligence (AI) based bag carrying machine, according to an embodiment of the present invention;
[0020] FIG. 1C illustrates a block diagram of a load balancing unit of the Artificial Intelligence (AI) based bag carrying machine, according to an embodiment of the present invention;
[0021] FIG. 1D illustrates a block diagram illustrating a connectivity of a controller with the load balancing unit of the Artificial Intelligence (AI) based bag carrying machine, according to an embodiment of the present invention; and
[0022] FIG. 2 depicts a flowchart of a method for carrying a bag using the Artificial Intelligence (AI) based bag carrying machine, according to an embodiment of the present invention.
[0023] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0024] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0025] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0026] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0027] FIG. 1A illustrates an Artificial Intelligence (AI) based bag carrying machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the machine 100 may be adapted to carry and stroll a bag across a varied terrain. The bag may be, but not limited to, a traveling bag, a suitcase, a duffel bag, a gym bag, a laptop bag, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the bag, including known, related art, and/or later developed technologies. The varied terrain may be, but not limited to, a floor, a park, a garden, a staircase, and so forth. Embodiments of the present invention are intended to include or otherwise cover any varied terrain where the machine 100 may be able carry and stroll the bag, including known, related art, and/or later developed technologies.
[0028] The machine 100 may comprise a base unit 102, a load balancing unit 104, and a controller 106.
[0029] In an embodiment of the present invention, the base unit 102 may be adapted to carry and stroll the bag. The base unit 102 may further comprise a biometric unit 108, a load-carrying platform 110, a motor 112, motorized wheels 114, a suspension mechanism 116, a safety lock 118, an emergency stop mechanism 120, straps 122, a power supply unit 124, a solar panel 126, and a rechargeable battery 128. The base unit 102 may be explained in detail in conjunction with FIG. 1B.
[0030] In an embodiment of the present invention, the load balancing unit 104 may be adapted to capture load data of the load being carried by the base unit 102. The load balancing unit 104 may further comprise load sensors 130, a location tracking unit 132, an indicator 134, and a mechanical actuator 136. The load balancing unit 104 may be explained in detail in conjunction with FIG. 1C.
[0031] FIG. 1B illustrates a block diagram of the base unit 102 of machine 100, according to an embodiment of the present invention. The base unit 102 may comprise the biometric unit 108, the load-carrying platform 110, the motor 112, the motorized wheels 114, the suspension mechanism 116, the safety lock 118, the emergency stop mechanism 120, the straps 122, the power supply unit 124, the solar panel 126, and the rechargeable battery 128. In an embodiment of the present invention, the base unit 102 and the components comprised by the base unit 102 may be activated upon actuation of a power switch (not shown).
[0032] In an embodiment of the present invention, the biometric unit 108 may be adapted to authenticate a carrier for accessing the base unit 102. The base unit 102 may comprise a lid (not shown). The lid may open upon a successful authentication of the carrier by the biometric unit 108. The opening of the lid, upon successful authentication, may enable an access to the load-carrying platform 110 of the base unit 102. The biometric unit 108 may be, but not limited to, a facial recognition hardware, a fingerprint sensor, a vocal print identifier, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the biometric unit 108, including known, related art, and/or later developed technologies.
[0033] In an embodiment of the present invention, the load-carrying platform 110 may be adapted to carry a load. In a preferred embodiment of the present invention, the load carried by the load-carrying platform 110 may be the bag that may being carried and strolled by the machine 100. Embodiments of the present invention are intended to include or otherwise cover any type of the load, including known, related art, and/or later developed technologies.
[0034] In an embodiment of the present invention, the motor 112 may be adapted to drive the motorized wheels 114. The motor 112 may be adapted to adjust a torque and a movement of the motorized wheels 114. In an embodiment of the present invention, the base unit 102 may comprise the motor 112 that may be ‘n’ in numbers. In an embodiment of the present invention, ‘n’ may be any finite number starting from ‘1’. In a preferred embodiment of the present invention, the base unit 102 may comprise four motors. The motor 112 may be, but not limited to, a stepper motor, a servo motor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the motor 112, including known, related art, and/or later developed technologies.
[0035] In an embodiment of the present invention, the motorized wheels 114 may be adapted to enable a mobility of the base unit 102. The motorized wheels 114 may be operable over the varied terrains and may further provide mobility to the base unit 102 over the varied terrains. In an embodiment of the present invention, the base unit 102 may comprise the motorized wheels 114 that may be ‘n’ in numbers. In an embodiment of the present invention, ‘n’ may be any finite number starting from ‘1’. In a preferred embodiment of the present invention, the base unit 102 may comprise four motorized wheels 114. The motorized wheels 114 may provide support to the base unit 102 when not in use, in an embodiment of the present invention. In an embodiment of the present invention, the motorized wheels 114 may be circular. In an embodiment of the present invention, the motorized wheels 114 may comprise a braking mechanism to reduce the velocity of the base unit 102. The brakes may be configured to reduce the velocity and bring the base unit 102 to the resting stage, in an embodiment of the present invention. In an exemplary embodiment of the present invention, the motorized wheels 114 may be positioned under the bottom of the base unit 102. In another exemplary embodiment of the present invention, the motorized wheels 114 may be positioned on side of the base unit 102. In yet another exemplary embodiment of the present invention, the motorized wheels 114 may be positioned anywhere on the base unit 102.
[0036] In an exemplary embodiment of the present invention, the motorized wheels 114 may be configured to rotate and move in a forward direction. In another exemplary embodiment of the present invention, the motorized wheels 114 may be configured to rotate and move in a backward direction. In yet another exemplary embodiment of the present invention, the motorized wheels 114 may be configured to rotate and move in any direction.
[0037] In an embodiment of the present invention, the motorized wheels 114 may comprise a tire layering (not shown) on an outside for enabling a smooth motion. The tire layering of the motorized wheels 114 may be constructed of any material such as, but not limited to, a rubber material, a neoprene material, a foam material, a plastic material, and so forth. Embodiments of the present invention are intended to include or otherwise cover any material for the tire layering of the motorized wheels 114, including known, related art, and/or later developed technologies.
[0038] In an embodiment of the present invention, the motorized wheels 114 may be integrated with the suspension mechanism 116 to maintain a stability on rough, inclined, or uneven surfaces of the terrain. In an embodiment of the present invention, the motorized wheels 114 may comprise the safety lock 118. The safety lock 118 may be adapted to lock the motorized wheels 114 to enable a stable and a stationary position of the base unit 102. In an embodiment of the present invention, the motorized wheels 114 may comprise the emergency stop mechanism 120. The emergency stop mechanism 120 may be adapted to stop the motorized wheels 114 to ensure an operational safety of the base unit 102.
[0039] In an embodiment of the present invention, the straps 122 may be commutatively attached to the load-carrying platform 110. The straps 122 may be adapted to be worn by the carrier. The straps 122 may be worn by the carrier on a body part. The body part may be, but not limited to, a shoulder, a waist, a chest, and so forth. Embodiments of the present invention are intended to include or otherwise cover any body part for wearing of the straps 122, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the straps 122 may be constructed of material such as, but not limited to, a fabric material, a silicon material, a rubber material, a leather material, and so forth. In a preferred embodiment of the present invention, the straps 122 may be ergonomically designed and may be padded to reduce pressure on the body part of the carrier. The ergonomic design and the padding may improve comfort for the carrier. Embodiments of the present invention are intended to include or otherwise cover any material for construction of the straps 122, including known, related art, and/or later developed technologies.
[0040] In an exemplary embodiment, as the carrier may wear the straps 122 and may tend to move, the base unit 102 may move along with the carrier. The motor 112 may actuate the motorized wheels 114, the actuation of the motorized wheels 114 may move the load-carrying platform 110 in a direction of a movement of the carrier. As the base unit 102 and the load-carrying platform 110 may be autonomously moving, using the motorized wheels 114, in the direction of the movement of the carrier, there may be minimal to zero strain on the body part of the carrier.
[0041] In an embodiment of the present invention, the power supply unit 124 may be adapted to provide an operational power to the machine 100. The power supply unit 124 may comprise the solar panel 126. The solar panel 126 may be adapted to convert solar energy to electrical energy. The electrical energy harnessed by the solar panel 126 may be adapted to recharge the rechargeable battery 128. The electrical energy accumulated in the rechargeable battery 128 may be supplied by the power supply unit 124 to provide the operational power to the machine 100. The rechargeable battery 128 may be of any composition such as, but not limited to, a Nickel-Cadmium battery, a Nickel-Metal Hydride battery, a Zinc-Carbon battery, a Lithium-Ion battery, and so forth. Embodiments of the present invention are intended to include or otherwise cover any composition of the rechargeable battery 128, including known, related art, and/or later developed technologies.
[0042] FIG. 1C illustrates a block diagram of the load balancing unit 104 of the machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the load balancing unit 104 may be adapted to capture load data of the load being carried by the load-carrying platform 110. The load balancing unit 104 may comprise the load sensors 130, the location tracking unit 132, the indicator 134, and the mechanical actuator 136.
[0043] In an embodiment of the present invention, the load sensors 130 may be adapted to monitor the load data. The load data monitored by the load sensors 130 may be, but not limited to, a weight, a center of gravity, a mass index, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the load data that may be monitored by the load sensors 130, including known, related art, and/or later developed technologies. The load sensors 130 may be, but not limited to, a strain gauge, a load cell, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the load sensors 130, including known, related art, and/or later developed technologies.
[0044] In an embodiment of the present invention, the location tracking unit 132 may be adapted to monitor terrain conditions. The location tracking unit 132 may be adapted to monitor and track a geographical location of the carrier. The location tracking unit 132 may be adapted to engage the safety lock 118 and the emergency stop mechanism 120, to prevent movements in the motorized wheels 114, as the base unit 102 crosses a predefined geographical periphery. In an exemplary embodiment of the present invention, the tracked location may be represented in x° North, y° East coordinated format. In another exemplary embodiment of the present invention, the tracked location may be in x° North y minute and z second, a° East b minute and c second coordinated format. In yet another exemplary embodiment of the present invention, the tracked location may be in any format. The location tracking unit 132 may be, but not limited to, a Global Navigation Satellite System (GLONASS), a Real-Time Locating Systems (RTLS), and so forth. In a preferred embodiment of the present invention, the location tracking unit 132 may be a Global Positioning System (GPS). Embodiments of the present invention are intended to include or otherwise cover any type of the location tracking unit 132, including known, related art, and/or later developed technologies.
[0045] In an embodiment of the present invention, the indicator 134 may be adapted to issue alerts to the carrier. The indicator 134 may issue alerts when a load imbalance or hazardous terrain condition may be detected. Further, the indicator 134 may issue the alerts via an auditory or a visual indication. The indicator 134 may be, but not limited to, an alarm, a buzzer, a siren, a Light Emitting Diode (LED), an inbuilt display unit, a pneumatic vibrator, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the indicator 134, including known, related art, and/or later developed technologies.
[0046] In an embodiment of the present invention, the mechanical actuator 136 may be configured to redistribute the load dynamically. The dynamic redistribution of the load may reduce the strain on the body part of the carrier. The mechanical actuator 136 may redistribute the load by carrying out actions such as, but not limited to, repositioning the straps 122, adjusting the load-carrying platform 110, modulating a speed of the motor 112 and the motorized wheels 114, and so forth. The repositioning of the straps 122 may be performed by extending or retracting the straps to shift the load distribution across the shoulders and back of the carrier for ensuring ergonomic comfort. The adjustment of the load-carrying platform 110 may include altering its inclination or height relative to the carrier’s body, thereby optimizing the load balance and reducing pressure points.
[0047] Embodiments of the present invention are intended to include or otherwise cover actions that may be carried out by the mechanical actuator 136 for redistributing the load, including known, related art, and/or later developed technologies.
[0048] FIG. 1D illustrates a block diagram illustrating a connectivity of the controller 106 with the load balancing unit 104 of the machine 100, according to an embodiment of the present invention. In an embodiment of the present invention, the controller 106 may be in communication with the load balancing unit 104.
[0049] The controller 106 may be configured to receive the captured load data and the terrain data from the load balancing unit 104. The controller 106 may be configured to determine a predictive strain on the body part of the carrier based on the received load data and the terrain data using an Artificial Intelligence (AI) technology.
[0050] In an exemplary embodiment, the predictive strain determined may tend to increase when the load is carried on inclined surfaces of the terrain, as compared to the predictive strain determined when the load is strolled on flat surfaces of the terrain. This increase in predictive strain on inclined surfaces may be attributed to the additional gravitational force components acting against the movement of the load, requiring greater effort from the carrier or the system. The inclined surfaces may introduce challenges such as uneven weight distribution, increased resistance due to slope angles, and a heightened demand for maintaining balance and stability, all of which contribute to the overall strain. Conversely, on flat surfaces, the load experiences uniform distribution and reduced gravitational resistance, resulting in comparatively lower predictive strain. The Artificial Intelligence (AI) technology may construct a stress-strain map of the body part of the carrier. The stress-strain map may visualize points on the body part of the carrier. Further, the stress-strain map may visualize the predictive strain that may be imposed on the body part of the carrier.
[0051] The controller 106 may be configured to compare the predictive strain that may be imposed on visualized points of the body part of the carrier with a threshold strain. The threshold strain may be an arbitrary magnitude that may be computed by the controller 106. The threshold strain may be computed by consideration of health parameters such as, but not limited to, an Electronic Health Records (EHRs), genetic markers, lifestyle factors, a cardiovascular risk profile, and so forth. Embodiments of the present invention are intended to include or otherwise cover any health parameters that may constitute computation of the threshold strain, including known, related art, and/or later developed technologies.
[0052] Further, as the predictive strain may exceed the threshold strain, the controller 106 may be configured to trigger the load balancing unit 104 to mitigate an impact of the load on the carrier. The impact of the load may be mitigated by dynamically distributing the load. The controller 106 may be configured to actuate the motor 112 to adjust the torque and the movement of the motorized wheels 114 based on the load data and the terrain conditions.
[0053] The adjustment of the torque and the movement of the motorized wheels 114 may be optimized by a machine learning algorithm. The machine learning algorithm may access a repository of historical terrain and load data for refinement of the operation of the motorized wheels 114 and the load balancing unit 104.
[0054] The controller 106 may be configured to execute computer-executable instructions to generate an output relating to the machine 100. According to embodiments of the present invention, the controller 106 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the controller 106 including known, related art, and/or later developed technologies.
[0055] FIG. 2 depicts a flowchart of a method 200 for carrying the bag using the machine 100, according to an embodiment of the present invention.
[0056] At step 202, the machine 100 may receive the captured load data from the load balancing unit 104.
[0057] At step 204, the machine 100 may receive the terrain data from the load balancing unit 104.
[0058] At step 206, the machine 100 may determine the predictive strain on the body part of the carrier based on the received load data and the terrain data using the Artificial Intelligence (AI) technology.
[0059] At step 208, the machine 100 may compare the predictive strain with the threshold strain. Upon comparison, if the predictive strain may be greater than the threshold strain, then the method 200 may proceed to a step 210. Else, the method 200 may revert to the step 202.
[0060] At step 210, the machine 100 may trigger the load balancing unit 104 to mitigate the impact of the load on the carrier by dynamically distributing the load.
[0061] At step 212, the machine 100 may actuate the motor 112, through the operational power received from the power supply unit 124, to adjust the torque and the movement of the motorized wheels 114 based on the load data and the terrain conditions.
[0062] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0063] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. An Artificial Intelligence (AI) based bag carrying machine (100) comprising:
a base unit (102) comprising:
a load-carrying platform (110) adapted to carry a load;
motorized wheels (114) adapted to be operable over varied terrains;
straps (122) commutatively attached to the load-carrying platform (110), adapted to be worn by a carrier; and
a power supply unit (124) adapted to provide an operational power to the machine (100);
a load balancing unit (104) adapted to capture load data of the load being carried by the load-carrying platform (110), and terrain data by monitoring terrain conditions; and
a controller (106) in communication with the load balancing unit (104), characterized in that the controller (106) is configured to:
receive the captured load data and the terrain data from the load balancing unit (104);
determine a predictive strain on a body part of the carrier based on the received load data and the terrain data using an Artificial Intelligence (AI) technology;
trigger the load balancing unit (104) to mitigate an impact of the load on the carrier by dynamically distributing the load; and
actuate a motor (112), through the operational power received from the power supply unit (124), to adjust a torque and a movement of the motorized wheels (114) based on the load data and the terrain conditions.
2. The machine (100) as claimed in claim 1, wherein the load balancing unit (104) comprises load sensors (130) configured to monitor the load data selected from a weight, a center of gravity, a mass index, or a combination thereof.
3. The machine (100) as claimed in claim 1, wherein the load balancing unit (104) comprises a location tracking unit (132) to monitor the terrain conditions.
4. The machine (100) as claimed in claim 1, wherein the load balancing unit (104) comprises a mechanical actuator (136) that is configured to redistribute the load dynamically by repositioning the straps (122), adjusting the load-carrying platform (110), or a combination thereof.
5. The machine (100) as claimed in claim 1, wherein the controller (106) is configured to issue alerts to the carrier via an auditory or a visual indicator (134) when a load imbalance or hazardous terrain condition is detected.
6. The machine (100) as claimed in claim 1, wherein the motorized wheels (114) are integrated with a suspension mechanism (116) to maintain stability on rough, inclined, or uneven surfaces of the terrain.
7. The machine (100) as claimed in claim 1, wherein the controller (106) comprises a machine learning algorithm configured to optimize an operation of the motorized wheels (114) and the load balancing unit (104) based on historical terrain and load data.
8. The machine (100) as claimed in claim 1, wherein the straps (122) are ergonomically designed and padded to reduce pressure on the body part and improve comfort for the carrier.
9. The machine (100) as claimed in claim 1, wherein the base unit (102) further comprises a solar panel (126) and a rechargeable battery (128).
10. The machine (100) as claimed in claim 1, wherein the motorized wheels (114) comprise a safety lock (118) and an emergency stop mechanism (120) integrated into the base unit (102) for operational safety.
Date: December 23, 2024
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant