CN114586697A - Intelligent habit development method, device, equipment and medium for pet with disabled legs - Google Patents

Intelligent habit development method, device, equipment and medium for pet with disabled legs Download PDF

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Publication number
CN114586697A
CN114586697A CN202210209034.6A CN202210209034A CN114586697A CN 114586697 A CN114586697 A CN 114586697A CN 202210209034 A CN202210209034 A CN 202210209034A CN 114586697 A CN114586697 A CN 114586697A
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target
pet
determining
satisfaction
intelligent
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CN202210209034.6A
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CN114586697B (en
Inventor
王宇航
支涛
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Beijing Yunji Technology Co Ltd
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Beijing Yunji Technology Co Ltd
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K15/00Devices for taming animals, e.g. nose-rings or hobbles; Devices for overturning animals in general; Training or exercising equipment; Covering boxes
    • A01K15/02Training or exercising equipment, e.g. mazes or labyrinths for animals ; Electric shock devices ; Toys specially adapted for animals
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K15/00Devices for taming animals, e.g. nose-rings or hobbles; Devices for overturning animals in general; Training or exercising equipment; Covering boxes
    • A01K15/02Training or exercising equipment, e.g. mazes or labyrinths for animals ; Electric shock devices ; Toys specially adapted for animals
    • A01K15/021Electronic training devices specially adapted for dogs or cats
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • A01K29/005Monitoring or measuring activity, e.g. detecting heat or mating

Abstract

The embodiment of the invention discloses an intelligent habit forming method, device, equipment and medium for pets with disabled legs. The method comprises the following steps: determining target operation and target position of a target pet according to a pre-configured timing trigger task; and moving the target pet to the target position so that the target pet performs the target operation at the target position. The embodiment solves the problems that disabled pets cannot autonomously move and get habits in the prior art, realizes that target pets can take the intelligent robot to move to corresponding target positions and complete corresponding timing trigger tasks, and achieves the purpose of intelligently getting habits of pets.

Description

Intelligent habit development method, device, equipment and medium for pet with disabled legs
Technical Field
The embodiment of the invention relates to the technical field of artificial intelligence, in particular to an intelligent habit forming method, device, equipment and medium for a pet with disabled legs.
Background
With the increasing standard of living, people pay more and more attention to the spiritual life, and especially more and more people like to raise pets (such as puppies, kittens and the like).
In the process of raising pets, the habit of pets is generally cultivated and trained manually. For example, go to the toilet, drink water on time, train games, sleep in the nest at night, and do not sleep on the principal bed, etc. However, disabled pets cannot be grown up by habit in an autonomous manner due to the lack of mobility and weakness of limbs. Therefore, how to intelligently develop habits of disabled pets is a problem to be solved urgently.
Disclosure of Invention
In view of this, embodiments of the present invention provide an intelligent habit forming method, apparatus, device and medium for a pet with disabled legs, so that the pet can move to a corresponding target position by using an intelligent robot to complete a timed task, thereby achieving the purpose of intelligent habit forming of the pet.
In a first aspect, an embodiment of the present invention provides an intelligent habit formation method for a pet with a disabled leg, which is applied to an intelligent robot, and includes:
determining target operation and target position of a target pet according to a pre-configured timing trigger task;
moving the target pet to the target position so that the target pet performs the target operation at the target position.
In a second aspect, an embodiment of the present invention further provides an intelligent habit forming device for a pet with a disabled leg, which is applied to an intelligent robot, and includes:
the first determining module is used for determining the target operation and the target position of the target pet according to the preset timing trigger task;
and the execution module is used for moving the target pet to the target position so as to enable the target pet to execute the target operation at the target position.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a visual camera, a memory, and one or more processors;
the visual camera is used for acquiring the actual action of the target pet when the target pet executes the target operation;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the intelligent habit forming method for a leg disability pet as in any one of the embodiments above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the intelligent habit formation method for a leg disability pet as in any one of the above embodiments.
The embodiment of the invention determines the target operation and the target position required to be executed by the target pet by the timing trigger task, and uses the intelligent robot as the leg of the target pet to automatically move the target pet to the target position at a regular time and execute the corresponding target operation at the target position at a regular time, thereby solving the problems that the disabled pet cannot autonomously move and becomes a habit in the prior art, realizing that the target pet can move to the corresponding target position by taking the intelligent robot, completing the corresponding timing trigger task, and achieving the purpose of intelligent pet habit formation.
Drawings
FIG. 1 is a flow chart of a method for intelligent habit formation of a pet with disabled legs according to an embodiment of the present invention;
FIG. 2 is a flow chart of another intelligent habit formation method for pets with disabled legs according to the embodiment of the present invention;
FIG. 3 is a flow chart of another intelligent habit formation method for a pet with disabled legs according to an embodiment of the present invention;
FIG. 4 is a block diagram illustrating an embodiment of an intelligent habit forming device for pets with disabled legs;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings, not all of them.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but could have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
In an embodiment, fig. 1 is a flowchart of an intelligent habit forming method for a pet with disabled legs according to an embodiment of the present invention, and the embodiment of the present invention is applicable to the case of intelligently forming habits of the pet with disabled legs and serving as a moving tool for the pet with disabled legs. The present embodiment is performed by an intelligent robot. As shown in fig. 1, the intelligent habit formation method for the pet with disabled legs in the embodiment includes the following steps: S110-S120.
And S110, determining the target operation and the target position of the target pet according to the preset timing trigger task.
The timing trigger task refers to a task which is required to be executed by the target pet at regular time. In the embodiment, the target operation which is required to be executed by the target pet in a timing manner and the position where the target operation is executed can be directly carried in the timing trigger task; or only carrying the target operation which is required to be executed by the target pet in a timing trigger task at regular time, and determining the corresponding target position according to the mapping relation between the target operation and the execution position. Illustratively, the timing trigger task may include only the following tasks: the tasks of eating at regular time, drinking water at regular time, sleeping at regular time, going to the toilet at regular time and the like; the following tasks may also be included: the system comprises tasks such as eating at regular time, drinking at regular time, sleeping at regular time, going to the toilet at regular time and the like, and a target position for executing each task. It is understood that the target operation refers to an operation that the target pet needs to perform in the timed trigger task. Illustratively, when the timed trigger task is a timed meal, then the target operation is a meal, and the target location is the location of the rice bowl.
It should be noted that the timed trigger task needs to be stored in the intelligent robot in advance. Certainly, in order to better meet the actual needs of the target pet, the intelligent robot periodically collects the work and rest and diet of the target pet in advance, specifies the work and rest needs and diet needs of the target pet, and then self-defines the corresponding timed trigger task according to the work and rest needs and diet needs of the target pet.
Certainly, in the actual operation process, if the intelligent robot needs to develop the intelligent habit for at least two pets, the face information of each pet needs to be collected and registered, and the timing trigger task corresponding to each pet is defined by users. When the timing trigger task is started, the corresponding target pet, the target operation required to be executed by the target pet and the target position where the target operation is executed can be determined according to the timing trigger task.
And S120, moving the target pet to the target position so that the target pet executes the target operation at the target position.
In an embodiment, in the case that the current location of the target pet is inconsistent with the target location, the intelligent robot moves the target pet to the target location by way of lifting, moving, or guiding, so that the target pet performs a corresponding target operation on the target location.
According to the technical scheme, the target operation and the target position which are required to be executed by the target pet are determined through the timed trigger task, the intelligent robot serves as a leg of the target pet, the target pet is automatically moved to the target position at a regular time, and the corresponding target operation is executed at the target position at the regular time, so that the problems that the disabled pet cannot move autonomously and the habit is formed in the prior art are solved, the target pet can move to the corresponding target position by taking the intelligent robot, the corresponding timed trigger task is completed, and the goal of intelligent pet habit formation is achieved.
In one embodiment, fig. 2 is a flowchart of another intelligent habit forming method for a pet with disabled legs according to an embodiment of the present invention. This embodiment is a description of a response process for intelligent habit formation of a pet with a disabled leg, on the basis of the above embodiment. As shown in FIG. 2, the intelligent habit formation method for the pet with the disabled leg in this embodiment comprises steps S210-S240.
S210, determining the target operation and the target position of the target pet according to the preset timing trigger task.
In one embodiment, S210 includes: S2101-S2102:
s2101, determining target operation of the target pet according to the pre-configured timing trigger task.
S2102, determining the target position of the target pet according to the target operation.
In an embodiment, the timed trigger task may only carry the operations that the target pet needs to perform. It can be understood that the target operation required to be executed by the target pet is identified and extracted according to the timing trigger task, and then the target position required to be reached by the target pet is determined according to the mapping relation between the target operation and the target position.
And S220, moving the target pet to the target position so that the target pet executes target operation at the target position.
And S230, determining a corresponding satisfaction recognition rule according to the operation type of the target operation.
Wherein the operation types include: space class operations and action class operations. Wherein, the space class operation refers to an operation at a certain position within a certain time period; an action class operation refers to an action that is made at a certain time. It is understood that a space-class operation is an operation over a longer period of time; an action-like operation is an operation in a short time. Illustratively, the spatial class operation may include: the operation can be completed within a longer time such as sleeping at regular time; the action class operations may include: the operation can be finished in a short time such as eating at regular time, going to the toilet at regular time, drinking water at regular time and the like.
Wherein, the satisfaction degree identification rule refers to a judgment standard of the satisfaction degree of the user on the target operation executed by the target pet. In the embodiment, the operation types of the target operation are different, and correspondingly, the satisfaction degree judgment standard for executing the target operation on the target pet is also different.
In one embodiment, S230 includes S2301-S2302:
s2301, under the condition that the operation type is the space operation, determining the corresponding satisfaction according to the actual duration parameter and the theoretical duration parameter of the target operation executed by the target pet.
The actual duration parameter refers to a relevant time parameter actually lasting when the target pet performs the target operation, for example, the actual duration parameter may include, but is not limited to: an actual start time, an actual end time, and an actual duration period. The theoretical duration parameter refers to a relevant time parameter that should theoretically last when the target pet performs the target operation, for example, the theoretical duration parameter may include, but is not limited to: a theoretical start time, a theoretical end time, and a theoretical duration period.
In the embodiment, the actual duration parameter and the corresponding theoretical duration parameter when the target pet performs the target operation are compared and analyzed to determine the satisfaction degree of the user in performing the target operation on the target pet. It can be understood that, when the target operation is the idle operation, the time period for which the target pet continues to perform the target operation is obtained, and the corresponding satisfaction is determined according to the time period.
And S2302, determining corresponding satisfaction according to the actual action of the target operation executed by the target pet and the theoretical action of the target operation under the condition that the operation type is the action type operation.
Wherein the actual action refers to an action actually made when the target pet performs the target operation; the theoretical motion refers to a motion theoretically made when the target pet performs the target operation. In the embodiment, the degree of satisfaction of the user for the target pet to perform the target operation is determined according to the similarity between the actual action and the theoretical action of the target pet for performing the target operation and the similarity.
In one embodiment, the actual action of the target pet to perform the target operation is obtained through the visual camera. In the embodiment, a visual camera is arranged in front of the intelligent robot so as to collect the actual action of the target pet for executing the target operation in real time or periodically.
And S240, determining a corresponding action response strategy according to the satisfaction determined by the satisfaction identification rule.
Wherein, the action response strategy can be understood as a feedback action according to the satisfaction degree after the target pet executes the target operation. In an embodiment, action response policies may include, but are not limited to: a reward policy; and (5) punishing the strategy. The reward strategy refers to a strategy for correspondingly rewarding the target pet; the penalty policy refers to a policy for penalizing a target pet. In an embodiment, the satisfaction degree of the target pet to execute the target operation is determined, and the action response strategy for the target pet is determined according to the satisfaction degree.
In one embodiment, S240 includes: S2401-S2402:
s2401, when the satisfaction degree reaches a preset satisfaction degree threshold value, determining that the action response strategy is a reward strategy.
In one embodiment, the reward policy includes, but is not limited to, one of: food reward, language reward, hug reward. In an embodiment, when the satisfaction degree of the target pet for performing the target operation reaches a preset satisfaction degree threshold, it can be understood that the action and/or duration parameter of the target pet for performing the target operation has reached the requirement, the target pet can be rewarded, so as to stimulate the target pet in a rewarding manner, and in a long term, the target pet is helped to develop a habit of performing the target operation at the time. It should be noted that the reward strategy for the targeted pet may also be other actions, such as stroking, interacting with the pet, etc.
S2402, when the satisfaction degree does not reach a preset satisfaction degree threshold value, determining the action response strategy as a punishment strategy.
In one embodiment, the penalty policy includes, but is not limited to, one of: simulating animal sound; simulating animal sound waves; driving noise. In an embodiment, when the satisfaction degree of the target pet for executing the target operation does not reach the preset satisfaction degree threshold, it can be understood that the action and/or the duration parameter of the target pet for executing the target operation does not reach the requirement, and then the target pet can be punished, so as to perform feedback of criticizing the target pet in a punishing manner.
On the one hand, the technical scheme of the embodiment identifies the target pet through the intelligent robot, and actively moves the target pet with disabled legs to the target position through lifting, grabbing and other modes, so that the companion and help of the target pet are realized; on the other hand, after the target pet is moved to the target position through the intelligent robot, the actual action and/or the actual duration parameter of the target operation executed by the target pet are/is automatically acquired to determine the satisfaction degree of executing the target operation on the target pet, and the target pet is rewarded or punished according to the satisfaction degree, so that criticizing feedback on the pet through a punishment mode is realized, or the pet is stimulated through a mode, and therefore the habit of executing the target operation at regular time is formed by the pet.
In one embodiment, fig. 3 is a flowchart of another intelligent habit forming method for a pet with disabled legs according to an embodiment of the present invention. In this embodiment, a process of an intelligent robot developing an intelligent habit for a target pet with leg disability will be described. As shown in fig. 3, the intelligent habit formation method for the pet with the disabled leg in this embodiment includes the steps of: S310-S360.
And S310, monitoring a timed trigger task of the target pet.
In an embodiment, the intelligent robot supports user input parameters, and after the parameters are input by the user, the intelligent robot regularly monitors target operations required to be executed by the target pet and target positions required to be reached every day so as to perform habitual cultivation on the target pet. Certainly, in the actual operation process, training of a timed trigger task can be performed according to the data of the activity information of the target pet, so that habit cultivation is performed on the target pet in a targeted manner according to the biological characteristics of the target pet.
And S320, determining the target operation and the target position of the target pet according to the timing trigger task.
In an embodiment, the intelligent robot determines the target operation required to be executed by the target pet and the target position where the target pet is located when the target operation is executed according to the timing trigger task.
S330, moving the target pet to the target position so that the target pet executes the target operation at the target position.
In an embodiment, the intelligent robot may move the target pet to the target position by lifting, grabbing, etc. so that the target pet performs the target operation at the target position.
S340, collecting actual actions and/or actual duration parameters of the target pet to execute the target operation.
And S350, determining the satisfaction degree according to the actual action and/or the actual duration parameter.
In an embodiment, when the target operation is a space operation, the time and the time period of the target pet in the corresponding control may be calculated, and the corresponding score may be obtained according to the time/time period × general constant. When the target operation is an action type operation, the image of the actual action of the pet executing the target operation can be identified through the visual camera, the similarity between the actual action and the theoretical action is calculated, and the similarity is multiplied by the universal constant to obtain the corresponding score. In an embodiment, satisfaction may be characterized in terms of scores, percentages, ratings. It is understood that when the satisfaction is characterized by a score, the score may be directly converted into the corresponding satisfaction, for example, when the score is 80 minutes, the corresponding satisfaction is also 80. When the satisfaction degree is represented by a grade, the score can be converted into a corresponding grade, for example, when the score is 50 minutes, the corresponding satisfaction degree is dissatisfied; when the score is 80 minutes, the corresponding satisfaction degree is medium satisfaction; at a score of 90 minutes, the corresponding satisfaction was very satisfactory.
And S360, selecting a corresponding penalty strategy or reward strategy according to the satisfaction degree.
In the embodiment, if the satisfaction reaches the preset satisfaction threshold, namely the score reaches the preset score threshold, the target pet can be rewarded; and if the satisfaction does not reach the preset satisfaction threshold, namely the score does not reach the preset score threshold, punishing the target pet.
For example, assuming that the user wants to foster the pet not to lie on a bed but to return to the nest at night, when the smart robot recognizes that the pet is not at the corresponding target position, the pet is picked up by a mechanical arm and placed in the nest desired by the owner, if the pet resists, the pet is fed back by criticizing by punishment and the like, and if the pet returns to the nest, the pet is motivated by reward and the like, so that the pet can be fostered to become a corresponding habit in the long term. Wherein, the pet can be rewarded and criticized by means of simulating animal sound or sound wave, food, driving noise and the like.
According to the technical scheme, the intelligent robot serves as the leg of the target pet with the disabled leg, and the target pet is moved to the target position at regular time, so that the target pet can finish the operations of going to the toilet, eating, drinking, sleeping and the like at the specified position at regular time, on one hand, the leg-disabled animal is helped to finish daily life, and on the other hand, the pet is intelligently helped to form good eating and resting habits.
In an embodiment, fig. 4 is a block diagram illustrating a structure of an intelligent habit forming device for a pet with disabled legs according to an embodiment of the present invention, and the embodiment of the present invention is applicable to a case of intelligently forming habits of a pet with disabled legs and serving as a moving tool for the pet with disabled legs. As shown in fig. 4, the intelligent habit forming device for the pet with the disabled leg in this embodiment includes: a first determination module 410 and an execution module 420.
The first determining module 410 is configured to determine a target operation and a target location of a target pet according to a preconfigured timing trigger task;
and the executing module 420 is used for moving the target pet to the target position so that the target pet executes the target operation at the target position.
In one embodiment, the intelligent habit forming device for a leg disabled pet, after moving the target pet to the target position so that the target pet performs the target operation at the target position, further comprises:
the second determining module is used for determining a corresponding satisfaction recognition rule according to the operation type of the target operation;
and the third determining module is used for determining a corresponding action response strategy according to the satisfaction determined by the satisfaction identification rule.
In one embodiment, the second determining module includes:
the first determining unit is used for determining the corresponding satisfaction according to the actual duration parameter and the theoretical duration parameter of the target operation executed by the target pet under the condition that the operation type is the space type operation;
and the second determining unit is used for determining the corresponding satisfaction according to the actual action of the target operation executed by the target pet and the theoretical action of the target operation under the condition that the operation type is the action type operation.
In one embodiment, the third determining module includes:
the third determining unit is used for determining the action response strategy as the reward strategy when the satisfaction degree reaches a preset satisfaction degree threshold value;
and the fourth determining unit is used for determining the action response strategy as a penalty strategy when the satisfaction degree does not reach the preset satisfaction degree threshold value.
In one embodiment, the first determining module includes:
the fifth determining unit is used for determining the target operation of the target pet according to the preset timing trigger task;
and a sixth determining unit for determining the target position of the target pet according to the target operation.
In one embodiment, the actual action of the target pet to perform the target operation is obtained through the visual camera.
In one embodiment, the reward policy includes at least one of: food rewards, language rewards, hug rewards;
the penalty policy includes at least one of: simulating animal sound; simulating animal sound waves; driving noise.
The intelligent habit formation device for the leg disabled pet can execute the intelligent habit formation method for the leg disabled pet applied to the intelligent robot, which is provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution of the intelligent habit formation method for the leg disabled pet.
In an embodiment, fig. 5 is a schematic hardware structure diagram of an electronic device according to an embodiment of the present invention. The electronic device in the embodiment of the present invention is described by taking an intelligent robot as an example. As shown in fig. 5, an intelligent robot provided in an embodiment of the present invention includes: processor 510, memory 520, input device 530, output device 540, and visual camera 550. The number of the processors 510 in the intelligent robot may be one or more, one processor 510 is taken as an example in fig. 5, the processor 510, the memory 520, the input device 530, the output device 540 and the visual camera 550 in the intelligent robot may be connected by a bus or other means, and the connection by the bus is taken as an example in fig. 5.
The memory 520 in the smart robot, as a computer-readable storage medium, may be used to store one or more programs, which may be software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the embodiment of the present invention or the provided intelligent habit forming method for a leg-disability pet (for example, the modules in the intelligent habit forming apparatus for a leg-disability pet shown in fig. 4, including the first determining module 410 and the executing module 420). The processor 510 executes various functional applications and data processing of the intelligent robot by running software programs, instructions and modules stored in the memory 520, so as to implement the intelligent habit forming method for the leg disability pet in the above method embodiment.
The memory 520 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 520 may further include memory located remotely from processor 510, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 530 may be used to receive numeric or character information input by a user to generate key signal inputs related to user settings and function control of the terminal device. The output device 540 may include a display device such as a display screen. And the visual camera 550 is used for acquiring the actual action of the target pet when the target operation is executed.
And, when the one or more programs included in the above-described intelligent robot are executed by the one or more processors 510, the programs perform the following operations: determining target operation and target position of a target pet according to a pre-configured timing trigger task; and moving the target pet to the target position so that the target pet performs the target operation at the target position.
In an embodiment, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the intelligent habit formation method applied to a leg-handicapped pet of an intelligent robot, provided by an embodiment of the present invention, the method including: determining target operation and target position of a target pet according to a pre-configured timing trigger task; and moving the target pet to the target position so that the target pet performs the target operation at the target position.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM or flash Memory), an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. The intelligent habit forming method for the pet with the disabled legs is applied to an intelligent robot and comprises the following steps:
determining target operation and target position of a target pet according to a pre-configured timing trigger task;
moving the target pet to the target position so that the target pet performs the target operation at the target position.
2. The method of claim 1, wherein after said moving said target pet to said target location to cause said target pet to perform said target operation at said target location, further comprising:
determining a corresponding satisfaction recognition rule according to the operation type of the target operation;
and determining a corresponding action response strategy according to the satisfaction determined by the satisfaction identification rule.
3. The method of claim 2, wherein determining the corresponding satisfaction identification rule according to the operation type of the target operation comprises:
under the condition that the operation type is space operation, determining corresponding satisfaction according to an actual duration parameter and a theoretical duration parameter of the target operation executed by the target pet;
and under the condition that the operation type is action type operation, determining corresponding satisfaction according to the actual action of the target operation executed by the target pet and the theoretical action of the target operation.
4. The method according to claim 2 or 3, wherein the determining a corresponding action response policy according to the satisfaction determined by the satisfaction identification rule comprises:
when the satisfaction reaches a preset satisfaction threshold, determining an action response strategy as a reward strategy;
and when the satisfaction does not reach a preset satisfaction threshold, determining the action response strategy as a punishment strategy.
5. The method of claim 1 or 2, wherein determining the target operation and target location of the target pet according to the pre-configured timed trigger task comprises:
determining target operation of a target pet according to a preset timing trigger task;
and determining the target position of the target pet according to the target operation.
6. The method of claim 3, wherein the actual action of the target pet to perform the target operation is obtained by a visual camera.
7. The method of claim 4, wherein the reward policy comprises at least one of: food rewards, language rewards, hug rewards;
the penalty policy includes at least one of: simulating animal sound; simulating animal sound waves; driving noise.
8. The utility model provides a device is supported to intelligent custom of leg disability pet which characterized in that is applied to intelligent robot, includes:
the first determining module is used for determining the target operation and the target position of the target pet according to the preset timing trigger task;
and the execution module is used for moving the target pet to the target position so as to enable the target pet to execute the target operation at the target position.
9. An electronic device, comprising: a visual camera, a memory, and one or more processors;
the visual camera is used for acquiring the actual action of the target pet when the target pet executes the target operation;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the intelligent habit developing method of a leg disability pet of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the intelligent habit forming method of a leg handicapped pet according to any one of claims 1 to 7.
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CN111461236A (en) * 2020-04-03 2020-07-28 宠米(北京)科技有限公司 Method for displaying completeness of pet sports index
CN112450114A (en) * 2020-12-07 2021-03-09 陈桂军 Sightseeing vehicle for disabled and paralyzed pets with large body sizes
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CN107466205A (en) * 2016-05-08 2017-12-12 深圳市欸阿技术有限公司 Method and system, wearing terminal, induction terminal, the dispensing terminal of defecation supervision
CN111461236A (en) * 2020-04-03 2020-07-28 宠米(北京)科技有限公司 Method for displaying completeness of pet sports index
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