KR20060083347A - Method for providing the degree of intelligence for robots - Google Patents

Abstract

The present invention relates to a method for imparting an intelligence index to a robot.

The present invention relates to a method of imparting an intelligent index to an arbitrary robot, comprising: perception technology corresponding to the recognition ability of the robot, decision technology corresponding to the decision or judgment of the robot, and The intelligence of the robot is calculated using a code table of a technology related to the robot classified into one or more of activity technologies corresponding to an activity area or activity type, wherein each of the cognitive technology, the determination technology, and the motion is calculated. The technology is weighted, and the intelligence index of any robot is determined according to the level at which each of the cognitive technique, the determination technique, and the operation technique is applied to the robot. It is about how to give.

According to the present invention, the intelligence of a general machine or system can be objectively defined and quantified to provide a measure of the performance of the robot.

Robot, IQ, Cognition, Judgment, Action, Three Factors, By Application, Intuitive

Description

Method for Providing the Degree of Intelligence for Robots}

1 is a view briefly illustrating a method for assigning an intelligent index to a robot according to a preferred embodiment of the present invention;

2 is a flowchart schematically illustrating a process of assigning an intelligent index of an arbitrary robot according to an exemplary embodiment of the present invention;

3 is a code table for cognitive technology according to a preferred embodiment of the present invention;

4 is a view showing the basis for setting the weight of the cognitive technique according to a preferred embodiment of the present invention,

5 is a view showing a code table for the determination technique according to a preferred embodiment of the present invention,

6 is a view showing the basis for setting the weight of the determination technique according to a preferred embodiment of the present invention,

7a to 7h show a code table for an operation technique according to a preferred embodiment of the present invention;

8 is a diagram illustrating the basis for setting a weight of an operating technique according to a preferred embodiment of the present invention;

9a to 9f is a view showing a code table according to the use of the robot and the use of the robot according to a preferred embodiment of the present invention,

10 is a view showing a code table of <TIL> according to a preferred embodiment of the present invention;

11 is a view showing a classification abbreviation for each use of a robot according to a preferred embodiment of the present invention;

12 is a diagram illustrating an abbreviation of an operation classification according to a preferred embodiment of the present invention.

The present invention relates to a method for imparting an intelligence index to a robot. More specifically, the perception technology corresponding to the robot's cognitive ability, the decision technology corresponding to the robot's decision or judgment, and the activity technology corresponding to the robot's activity area or activity type, etc. The intelligence of the robot is calculated by using the code table of the technology related to the classified robot, and the usage intelligence index is calculated by classifying and using the technology code table for each purpose considering the robot's use, and from these four indices In addition, the present invention relates to a method of assigning a robot's intelligence index by obtaining a global intelligence index, and also assigning an intelligence index to the robot by defining a robot by mapping the global intelligence index to a predetermined organism.

Robot is a mechanical device that can perform operations such as operation and movement by automatic adjustment, and is used for various tasks on behalf of humans. The robot industry has developed rapidly, and is expanding from the research on industrial / special work robots to the research on robots that are made for the purpose of helping humans and enjoying human life such as home and educational robots. to be.

When information terminalization is performed on the home appliances currently used, there is a high possibility that a robot may be used as an interface in place of an operation remote controller of such products. Also, with the advent of an aging society, the control of robots' voice recognition will be more noticeable in the home. Moreover, humanoid robots are similar to human beings, and are emerging as being easy to communicate with humans, and their activities are expected to expand gradually.

On the other hand, since the early 20th century, great efforts have been made to understand and measure human intelligence. Many psychologists were particularly interested in what constitutes intelligence and how to score it. Both of these problems still do not provide a clear solution.

Various theories have been introduced so far as to what is intelligence. Known as one of the pioneers of human IQ testing, Binet devised a test to measure the "core" of intelligence defined by "Judgment" and "Adaptability." Spearman Basically considered intelligence to be characterized as one general factor of intelligence called “mental energy.” In addition, Thurstone goes a step further by verbal comprehension, word fluency, and arithmetic ability. We proposed a model that constructs intelligence with general and special factors, including number skills, spatial relations, associative memory, perceptual speed, and general reasoning. .

Psychologists, meanwhile, have developed two ways of expressing intelligence as a score. One is the exponential form of IQ and the other is the deviation form of IQ. Binet suggested that intelligence measures should compare a person's "Mental Age" (MA) to "Chronological Age (CA)". The "mental age," representing the state of the mind, is defined as a test based on a person's ability to be "average" mentally at a given actual age. For example, if a 10-year-old child correctly answers all the questions that 12-year-old children usually answered correctly, the child will have an IQ of 120. In this case, the formula MA / CA x 100, or 12/10 x 100, represents a measure of intelligence in the form of ratios or indices, which is called IQ, which stands for intelligence index.

Recently developed by psychologist Wechsler, WAIS-R has become the most widely used intelligence test. The overall score is a combination of language and ability scores and is expressed based on the deviation IQ, rather than the exponential MA / CA × 100. In the Wechsler test, IQ is calculated as the deviation of the mean score of the standard distribution.

Many of these psychologists have suggested that human intelligence be described by various characteristics or factors, including linguistic reasoning, mathematical reasoning, description / abstract reasoning, and short-term memory. Thus, although intelligence can be seen as being multifaceted, not just in one domain, psychologists suggest that you create a set of test questions to find each factor to score, and to find the corresponding IQ in the distribution of score sets. Is coming. This number, called IQ, is not a complete reflection of all the characteristics of intelligence in humans, but it does play a role as a measure of human intelligence.

 As mentioned above, in a situation where the robot is emerging as an easy-to-communicate human being and its area of activity is gradually expanding, it is necessary to determine the main factors that form the intelligence of the robot in the robot as well as the exponential expression of the human intelligence. There is a movement.

As part of this move, a new concept, the Machine Intelligence Quotient (MIQ), was introduced by L. A. Zadeh in 1994. Here MIQ is a solution to how to make a system or machine intelligent, assuming that it can be measured and that MIQ can be as meaningful as IQ (Intelligence Quotient). Was used.

Bien et al., On the other hand, consider the issues of MIQ from the ontological (functional) / phenomenal (operational) perspective of intelligent machines, and propose a method of measuring MIQ in two extremely simplified methods. Here, the proponents argue that MIQ can be a measure of the performance of a system rather than a list of specifications, and can also be a measure of system behavior for both users and developers.

As such, there is an increasing interest in how to measure machine intelligence in recent years. For example, Chalfant and Lee offer interesting engineering perspectives, and the work of every machine can be represented in the form of graphs, and the appropriate language for that graph Insist that it will be found. Szu also described the first 50% of the MIQ scale for robot intelligence in five areas:

MIQ = 10% for loyalty to human master and survivability,

MIQ = 20% for understanding human conversation,

MIQ = 30% for emotional understanding,

MIQ = 40% for team control and

MIQ = 50% for exploring the tolerance of imprecision

These proposals appear to be new and interesting but have the problem that the criteria are vague and somewhat subjective.

Therefore, while we are still studying to use this MIQ to define general machine or system intelligence, we can see that there is no quantified robot intelligence index that can be applied to all cases. .

In order to solve this problem, the present invention provides a perception technology corresponding to the robot's cognitive ability, a decision technology corresponding to the robot's decision or judgment, and an operation corresponding to the activity area or activity type of the robot ( The intelligence of the robot is calculated by using the code table of the technology related to the robot classified into Activity) technology, and the usage intelligence index is calculated by classifying and using the technology code table for each purpose considering the robot's use. It aims to provide a method of assigning a robot's intelligence index to the robot by assigning the robot's intelligence index again from the obtained four indices, and defining the robot by matching the total intelligence index to a predetermined organism. do.

According to a first object of the present invention, a cognitive measuring module for measuring the recognition ability of any robot, a judgment measuring module for measuring the decision or judgment ability of the robot, measuring the activity area or activity type of the robot A method of assigning an intelligent index to a robot using an intelligent index grant system of a robot including a motion measuring module, comprising: (a) one or more perception techniques corresponding to the recognition capability of the robot and each of the said Calculating the cognitive intelligence index of the robot in the cognitive measurement module using a cognitive database in which weights for cognitive technologies are set; (b) determining, by the decision measuring module, the decision intelligence index of the robot using one or more decision techniques corresponding to the decision or judgment of the robot and a decision database in which weights for each decision technique are set. Calculating; (c) calculating the motion intelligence index of the robot in the motion measurement module by using an activity database corresponding to an activity area or an activity type of the robot and a motion database in which weights for each motion technology are set; Doing; And (d) identifying and outputting the cognitive intelligence indices, the judgment intelligence indices, and / or the operational intelligence indices calculated in the steps (a) to (c), respectively. Provides a way to give intelligence to the robot.

According to a second object of the present invention, in a method of imparting an intelligent index to an arbitrary robot, a perception technique corresponding to the recognition ability of the robot, a decision corresponding to a decision or judgment of the robot Calculating the intelligence of the robot using a code table of the technology related to the robot classified into at least one of a technology and an activity technology corresponding to an activity area or an activity type of the robot, wherein each of the cognitive skills and the The determination technique and the operation technique are weighted, and the intelligent index of the robot is determined according to the level at which each of the cognitive technique, the determination technique and the operation technique is applied to the robot. Provides a way to give intelligence to the robot.

According to a third object of the present invention, in a method of applying a usage index and an intelligent index for each use to a robot, the use of the robot can be used to communicate with a person, a service use for performing a useful service for a human welfare, or a facility. Entertainment use to perform work, medical use to replace or assist the work of a doctor or nurse, hazardous work use to carry out dangerous work that is difficult for a person to do, industrial use to perform on behalf of human work in an industry, and combat or military operations. By classifying one or more of the military uses to perform, using the code table of the technology required for each use of the robot to calculate the intelligent index for each use and the use of the robot, each technology for each use is given a weight The image of the robot according to the level of the application-specific technology applied to the robot. It provides a method for imparting the purpose, application and IQ to any of the robot, characterized in that for determining the application-specific IQ.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. First of all, in adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are used as much as possible even if displayed on different drawings. In addition, in describing the present invention, when it is determined that the detailed description of the related well-known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a view briefly illustrating a method for assigning an intelligent index to a robot according to a preferred embodiment of the present invention.

In a preferred embodiment of the present invention, a total of three methods are proposed for imparting an intelligence index to a robot. It is classified into one or more of the following: perception technology corresponding to the robot's cognitive ability, decision technology corresponding to the robot's decision or judgment, and activity technology corresponding to the robot's activity area or type of activity. The first method of calculating the robot's intelligence by using the code table of the technology, the second method of giving the robot an intelligent index for each use and purpose, and the total intelligence level of the robot are calculated, and the intelligence of the predetermined living organism is calculated. A third way is to add an organism code that corresponds to the robot's overall intelligence level using exponents.

In FIG. 1, the above-described first method is referred to as "three-element measuring method", the second method as "application measurement method", and the third method as "intuitive measurement method".

First, the three-element measuring method measures the robot's intelligence based on three factors known as "perception", "decision", and "activity". The elements, judgment elements, and movement elements were prepared by dividing the robot-related technologies into parts corresponding to cognitive ability or perception, parts corresponding to decision making or judgment, and parts corresponding to an activity area or activity type.

In the case of cognitive element and judgment element, several fields are divided in the code table, but it can be treated as one code table because it can be applied to all robots in common. On the other hand, the operating element is composed of a total of eight code tables, which are classified according to the type of robot, and select one code table most suitable for the robot. This code table will be described in detail later.

2 is a flowchart schematically illustrating a process of assigning an intelligent index of an arbitrary robot according to an exemplary embodiment of the present invention.

In the three-element measuring method according to the preferred embodiment of the present invention, a cognitive measuring module for measuring the recognition ability of an arbitrary robot, a judgment measuring module for measuring the decision-making or judgment ability of a robot, and measures an activity area or an activity type of the robot. Intelligence index is given to any robot by using a robot's intelligence index granting system including a motion measuring module.

First, the cognitive measurement module of the robot's intelligent index granting system calculates the robot's cognitive intelligence index by using one or more perception skills corresponding to the robot's perception ability and a cognitive database in which weights for each cognitive technology are set. Calculate (S200). Next, in the determination measurement module of the robot's intelligent index granting system, the determination of the robot is performed using one or more decision techniques corresponding to the decision or determination of the robot and a decision database in which weights for each decision technique are set. The intelligence index is calculated (S202).

In addition, the motion measurement module of the robot's intelligent index providing system uses the motion technology corresponding to the robot's activity area or activity type and a motion database in which weights are set for each motion technology. To calculate (S204). Next, in order to calculate the intelligent index for each use, the robot's function is used to determine the use of the robot, and the use-specific intelligence of the robot is used by using a use database in which the use technology corresponding to the use and the weight of each use technology are set. The index is calculated (S206).

Next, the total intelligence level of the robot is calculated using the intelligence indexes calculated in steps S200 to S206, and the biometric code corresponding to the overall intelligence level of the robot is calculated using the intelligence index of the predetermined creature. It is given further (S208). The calculated cognitive intelligence index, judgment intelligence index, motion intelligence index, usage-specific intelligence index, and biological code calculated in this way are identified and output, respectively (S210).

3 is a diagram illustrating a code table for cognitive technology according to a preferred embodiment of the present invention.

Cognitive technology according to a preferred embodiment of the present invention is a collection of all the technologies related to the recognition ability of the robot, as shown in Figure 3 image recognition technology, voice recognition technology, distance recognition technology, other sensor technology and It is comprised including other techniques. Since every robot must have some recognition ability, it is necessary to determine the degree of reflection of the technology for all items in order to determine the superiority of the ability. Therefore, when measuring the intelligence index of the robot, all the items shown in Figure 3 must be considered, so the cognitive technique of Figure 3 is divided into five, but can actually be seen as one code table.

As shown in FIG. 3, a code table according to a preferred embodiment of the present invention is composed of four types of code, description description, weight, and description level.

The code is a number appended for identification and has no special meaning. The technical description details the cognitive techniques applied to the robot, and the weights are shown in nine steps from level 1 to 9. The technology level is determined by evaluating three levels of 3, 2, and 1 if the robot does not have the technology applied and if it is applied, the measurement is taken. For example, it is determined whether the technology of the CCD camera is applied to the robot to be measured, and if the CCD camera technology is applied, the level of difficulty is determined by determining the difficulty of the technology.

The configuration of the code table is commonly applied to the code table for the judgment technology, the code table for the operation technology, and the code table for each use.

4 is a diagram illustrating a basis for setting weights of cognitive techniques according to a preferred embodiment of the present invention.

As shown in FIG. 4, the weight of the cognitive technique according to the preferred embodiment of the present invention may include the dimensional information of the information processing target, the complexity of the technique, whether the algorithm is required, whether it can be learned, whether the biosignal can be processed, and the intuitive recognition. Whether or not it is set.

5 is a diagram illustrating a code table for the judgment technique according to the preferred embodiment of the present invention.

Judgment technique according to a preferred embodiment of the present invention is a collection of all the techniques associated with the decision or determination of the robot, as shown in Figure 5, inference techniques, learning techniques, control techniques, planning techniques and other techniques It is comprised including these. Like the above-described cognitive technique, the judgment technique measures not only one of the five areas but also measures how much the technique is applied to all contents. After all, this means the same applies to all robots, regardless of their type or purpose.

Meanwhile, unlike the cognitive description code table of FIG. 3, the judgment description code table of FIG. 5 according to the preferred embodiment of the present invention has no weight set in three fields of inference, learning, and control. This is because the three fields of reasoning, learning, and control are the contents of which the function is improved as more technologies are applied to each technology without the concept of superiority. The basis for setting the weight of the other techniques is shown in FIG.

As shown in FIG. 6, the weight of the determination technique according to the preferred embodiment of the present invention is set using the degree of computational capability of the robot, the type of data to be processed, the complexity of the technique, and the possibility of creation.

7A to 7H are diagrams illustrating a code table for an operation technique according to a preferred embodiment of the present invention.

The motion technology according to the preferred embodiment of the present invention is a collection of all skills related to the activity area or the activity type of the robot.

The measurement of the operation technique according to the preferred embodiment of the present invention is measured by selecting one of the eight code tables of FIGS. 7A to 7H differently from the above-described cognitive technique and determination technique. This is divided based on the robot's activity area and shape, and one other item can be applied to all robots. Eight items are: Aero, Underwater, Space, Biped, Multiped, Wheel or Caterpillar-based, Non- Non-movable robots and other robots (Others) and the like.

8 is a diagram illustrating the basis for setting a weight of an operating technique according to a preferred embodiment of the present invention.

The weight setting level shown in FIG. 8 is commonly applied to all eight operation description items of FIGS. 7A to 7H. As shown in FIG. 8, the weight of the operation technology according to a preferred embodiment of the present invention is a robot. It is set using the operation degree, hardware technology, sensing technology, communication / radar related technology, database / memory related technology, program / algorithm related technology and learning / creative ability related technology.

As shown in FIG. 3, FIG. 5, and FIG. 7, the code table according to the preferred embodiment of the present invention has a weight and a description level for each description item. The basis of the three factor measurement method according to the preferred embodiment of the present invention lies in the sum of this weight and the skill level. As described above, since each item of the cognitive technique and the judgment technique is applied to all robots in common, the intelligence index is calculated by the sum of the weight x skill levels. This can be expressed as Equation 1 and Equation 2.

Where x _P is the intelligence index for cognitive skills, x _D is the intelligence index for judgment skills, W is the weight, T is the skill level, and n is the number of codes.

In addition, each item of the moving technology is not applied to all robots in common, but is selected and applied to one of several code tables, and thus the number of codes and the weight of the technology are different from each other. Therefore, it is desirable to set the maximum value because the criterion is required. In a preferred embodiment of the present invention, the maximum value is set to 150. This may be represented as in Equation 3.

Where x _A is the intelligence index for the operating technique, W is the weight, T is the skill level, and n is the number of codes.

Next, a measurement method for each use according to a preferred embodiment of the present invention will be described.

Its use is very important for robots. Just as every object used by humans has a purpose, robots can be said to have no reason for existence without that purpose. In the preferred embodiment of the present invention, six uses of the robot are defined, and a list of technologies required for each use is shown as six code tables.

9A to 9F are diagrams showing a code table according to a use of a robot and a use of the robot according to a preferred embodiment of the present invention.

The seven uses of the robot according to the preferred embodiment of the present invention are a service robot, an entertainment robot, a medical robot, a Hazardous environmental robot, an industrial robot, a military robot, respectively. Robot or the like.

9A shows a code table for a service robot among the uses of the robot. Service robot refers to a semi-autonomous or autonomous moving robot for performing useful services for human welfare and facilities (excluding manufacturing activities), the service robot is the most robot among six use-specific robots according to a preferred embodiment of the present invention It can be said to have a comprehensive function. Such robots may be guide robots, cleaning robots, security robots, educational robots, home service robots, etc., and most of the robots that do something helpful next to humans can be included in the service robot category. Examples include Roomba from iRobot in the US, Trilobite from Electrolux in Sweden, and iCOMAR from Samsung. The code table of the service robot of FIG. 9A mainly represents a combination of tasks performed by most service robots.

9B shows a code table for an entertainment robot among the uses of the robot. Entertainment robots are defined as most toy robots, and can be defined as robots that interact with people and perform tasks that please people. Examples include Sony's QRIO, Aibo, and MIT's Kismet. Entertainment robots have the second largest category after service robots.

Figure 9c shows a code table for the medical robot of the use of the robot. Medical robots literally refer to robots that can replace or assist doctors or nurses. Surgical robots, patient assistant robots, or recycling robots fall into the category of medical robots.

Figure 9d shows a code table for a robot for hazardous work among the uses of the robot. Dangerous robots, which are robots that perform dangerous tasks that are difficult for humans, include fire robots, minesweeping robots, or planetary exploration robots.

9E shows a code table for an industrial robot among the uses of the robot. Industrial robots literally refer to robots that can perform human tasks in the primary and secondary industries. Industrial robots include agricultural robots, factory automation, and manipulators.

9F shows a code table for a military robot among the uses of the robot. Military robots are robots developed for military purposes. They are robots that can perform combat or military operations on behalf of humans. Various types of robots and drones used by the military for reconnaissance and attack are included.

Meanwhile, the weight setting criteria shown in the application-specific code table of FIGS. 9A to 9F follow the weight setting criteria of the operation technique of FIG. 8. The purpose-specific code table and the code table of the operation technology follow the same weight setting criteria because the application-specific technologies are also related to the behavior of the robot.

Similar to the intelligence index for the motion technique calculated by the three-element measurement method described above, each item of the intelligence index for each application is not applied to all robots but is applied to one of several application code tables. In all respects, the number and weight of the technique are off. Therefore, since the criterion is required, it is preferable to set the maximum value. In a preferred embodiment of the present invention, the maximum value is set to 150. This may be represented as in Equation 4.

Here, x is the use-specific intelligence index, W is the weight, T is the technology level and n is the number of codes.

Finally, the intuitive measurement method will be described.

Intuitive measurement method according to a preferred embodiment of the present invention is derived from the aforementioned three-element measurement method and the application-specific measurement method. The intuitive measurement method according to the preferred embodiment of the present invention calculates the overall intelligence level of the robot by using the intelligence index derived from the three-element measurement method and the application-specific intelligence index derived from the usage-specific measurement method, and corresponds to the intelligence level of the known organism in general. It is represented by the code of the creature being. Here, the total intelligence level is named <TIL> after the abbreviation.

10 is a diagram illustrating a code table of <TIL> according to a preferred embodiment of the present invention.

The code table of FIG. 10 is prepared with reference to the method for measuring IQ of animals, the degree of classification and evolution of animals, and the like. Here, the value of <TIL> is a value derived from the three-factor classification and the classification according to the use, and is a value that expresses the capability of the robot numerically. Equation 5 is a <TIL> derivation equation according to a preferred embodiment of the present invention.

Here, x _T is a <TIL> value, x is an application-specific intelligence index, x _P is an intelligence index for cognitive skills, x _D is an intelligence index for judgment techniques, and x _A represents an intelligence index for motion techniques. x, x _P , x _D and x _A can be obtained from the above-described equations (1) to (4).

In Equation 5, a weight of 0.3 is applied to the intelligence index for the purpose-specific intelligence index and the judgment technique, and a weight of 0.2 is applied to the intelligence index for the cognitive technique and the intelligence index for the operation technique. In the preferred embodiment of the present invention, the weight is set on the assumption that the application technology and the judgment technology are elements that more accurately reflect the intelligence of the robot, and the weight setting is a changeable element.

Hereinafter, an example of intelligent index notation of a robot calculated according to a preferred embodiment of the present invention will be described.

The general formula of the intelligent index notation of the robot according to the preferred embodiment of the present invention is as follows.

DOI <TIL> T x _T

<P> x P x _P D x _D <A> x _A

An example of putting an actual number in such a general formula is as follows.

<Example>

DOI Dolphin T58

Et 68 P65 D53 B 47

First of all, the first DOI is the title, which means that it represents the intelligence of the robot. In place of the second <TIL>, in the example, Dolphin is written, which indicates approximately which biological level the overall intelligence level of the robot calculated by Equation 5 follows the result of the above-described intuitive measurement method. The third content, T, is an overall intelligence index for determining the <TIL> value. In the above example, <TIL> is determined as Dolphin by FIG. 10.

In the second line, <P>, P, D, and <A> represent the intelligence indices of each element obtained from the usage measurement method and the three-element measurement method, respectively. <P> stands for 'P', which stands for 'Purpose', and writes the application-specific intelligence index calculated from the code table by the application-specific measurement method. Next, P stands for 'Perception', D for 'Decision' and <A> for 'Activity' in the three-element method. Similarly, x _P is obtained by calculating the value of the cognitive intelligence index calculated from the cognitive code table of the three-element measurement method, x _D is determined by the judgment intelligence index, and x _A is obtained by calculating the motion intelligence index value.

In the example, &quot; P &quot; is obtained from initials of each classification robot item of the classification by use, and the contents thereof are shown in FIG. Since the robot shown in the example is an entertainment robot, it is written Et. In addition, <A> is an item for selecting one of eight classifications of behaviors among the three-element measurement methods, and in the example, it is selected as B by FIG. 12 because it is a biped walking robot.

On the other hand, the description content and the weighting grounds provided in Figures 3 to 10 are only examples and are not limited to the description because the new content may be added, changed or deleted as the technology is gradually developed. In addition, the weights are similarly difficult techniques to be easily implemented over time, so it should be adjusted to lower the value gradually, but not limited to.

The above description is merely illustrative of the present invention, and those skilled in the art to which the present invention pertains may various modifications without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed herein are not intended to limit the present invention but to describe the present invention, and the spirit and scope of the present invention are not limited by these embodiments. It is intended that the scope of the invention be interpreted by the following claims, and that all descriptions within the scope equivalent thereto shall be construed as being included in the scope of the present invention.

As described above, according to the present invention, there is an effect of providing a measure of the performance of the robot by objectively defining and quantifying the functions of a general machine or system. In addition, the intuitive measuring method according to the present invention has an advantage of providing the intelligence index of the robot more familiarly by assigning the intelligence index of the robot by using the organism corresponding to the overall intelligence of the robot.

Claims (28)

Intelligence of a robot, including a cognitive measuring module for measuring the recognition ability of an arbitrary robot, a judgment measuring module for measuring the decision or judgment ability of the robot, and a motion measuring module for measuring the activity area or the activity type of the robot. In the method of applying the intelligent index to any robot using an index grant system, (a) calculating the cognitive intelligence index of the robot in the cognitive measurement module using at least one perception technology corresponding to the recognition ability of the robot and a cognitive database in which weights for each cognitive technology are set; step; (b) determining, by the decision measuring module, the decision intelligence index of the robot using one or more decision techniques corresponding to the decision or judgment of the robot and a decision database in which weights for each decision technique are set. Calculating; (c) calculating the motion intelligence index of the robot in the motion measurement module by using an activity database corresponding to an activity area or an activity type of the robot and a motion database in which weights for each motion technology are set; Doing; And (d) identifying and outputting the cognitive intelligence indices, the judgment intelligence indices, and / or the motion intelligence indices calculated in steps (a) to (c), respectively. Method for imparting the intelligence index to any robot, characterized in that it comprises a. The method of claim 1, And the cognitive technique includes one or more of an image recognition technique, a speech recognition technique, a distance recognition technique, and a sensor technique. The method of claim 1, The weight of the cognitive technique may be set using at least one of the dimensional information of the information processing target, the complexity of the technique, whether the algorithm is required, whether it is possible to learn, whether it is possible to process the bio-signals and whether it can be intuitively recognized. To give IQ to your robot. The method of claim 1, And said determining technique includes one or more of inference, learning, control, and planning techniques. The method of claim 1, And the weight of the determination technique is set using at least one of the degree of computational capability, the type of data to be processed, the complexity of the technique, and the possibility of creation. The method of claim 1, The intelligence index for the motion technique is assigned by applying a separate code table according to the activity area or the activity type of the robot, the activity area comprising one or more of aviation, underwater and space, and the activity type Is a biped walking, multipedal walking, wheel or caterpillar based, and non-moving. The method of claim 1, The weight of the operation technique may include one or more of an operation degree, a hardware technique, a sensing technique, a communication / radar technique, a database / memory technique, a program / algorithm technique, and a learning / creative capability technique. A method of assigning an intelligence index to any robot characterized. The method of claim 1, The purpose of the robot is determined using the function of the robot, and the intelligent index for each purpose of the robot is measured by using a usage database in which a usage technique corresponding to the usage and a weight for each usage technique are set. And outputting the intelligence index together with the cognitive intelligence index, the decision intelligence index, and / or the motion intelligence index. The method of claim 8, The above uses may include services for performing useful services to human welfare or facilities, for entertainment for performing sympathetic and entertaining activities, for medical purposes to replace or assist doctors or nurses, or for dangerous tasks that are difficult for a person to do. A method of assigning an intelligence quotient to any robot, comprising one or more of a hazardous work undertaken, an industrial use performed on behalf of a person's work in the industry, and a military use performing a combat or military operation. The method of claim 8, The weight of the use-specific technology may include one or more of an operation degree, a hardware technology, a sensing technology, a communication / radar technology, a database / memory use technology, a program / algorithm utilization technology, and a learning / creative capability technology. A method of assigning an intelligence index to any robot characterized. The method of claim 8, When the intelligence index is assigned to the robot, the total intelligence level of the robot is calculated by using the intelligence index of the robot and the intelligence index for each use, and the intelligence index of the robot is set using a predetermined intelligence index of the organism. And assigning an intelligence index to any robot further comprising: assigning an organism code corresponding to the overall intelligence level. The method of claim 11, In marking the intelligence index on the robot, the overall intelligence level is displayed together with the organism code, the intelligence index for each purpose is displayed together with the usage of the robot, and the cognitive technique, the determination technique, and the operation technique. To assign an intelligent index to any robot, characterized in that for identifying and marking each. In the method of giving the intelligence index to any robot, One or more of a perception technology corresponding to the recognition ability of the robot, a decision technology corresponding to a decision or judgment of the robot, and an activity technology corresponding to the activity area or activity type of the robot. The intelligence of the robot is calculated using code tables of the technologies related to the classified robots, and each of the cognitive technology, the determination technology and the operation technology is weighted, and each of the cognition technology and the determination technology. And determining the intelligence index of the robot according to the level at which the operation technique is applied to the robot. The method of claim 13, And the cognitive technique includes at least one of an image recognition technique, a speech recognition technique, a distance recognition technique, and a sensor technique. The method of claim 13, The weight of the cognitive technique may be set using at least one of the dimensional information of the information processing target, the complexity of the technique, whether the algorithm is required, whether it is possible to learn, whether it is possible to process the bio-signals and whether it can be intuitively recognized. To give IQ to your robot. The method of claim 13, And said determining technique includes one or more of inference, learning, control, and planning techniques. The method of claim 13, And the weight of the determination technique is set using at least one of the degree of computational capability, the type of data to be processed, the complexity of the technique, and the possibility of creation. The method of claim 13, The intelligence index for the motion technique is assigned by applying a separate code table according to the activity area or the activity type of the robot, the activity area comprising one or more of aviation, underwater and space, and the activity type Is a biped walking, multipedal walking, wheel or caterpillar based, and non-moving. The method of claim 13, The weight of the operation technique may include one or more of an operation degree, a hardware technique, a sensing technique, a communication / radar technique, a database / memory technique, a program / algorithm technique, and a learning / creative capability technique. A method of assigning an intelligence index to any robot characterized. The method of claim 13, When assigning the intelligent index to the robot, the intelligent index for any robot, characterized in that further assigning the purpose and the intelligent index for each use of the robot corresponding to the function of the robot. The method of claim 20, The above uses may include services for performing useful services to human welfare or facilities, for entertainment for performing sympathetic and entertaining activities, for medical purposes to replace or assist doctors or nurses, or for dangerous tasks that are difficult for a person to do. A method of assigning an intelligence quotient to any robot, comprising one or more of a hazardous work undertaken, an industrial use performed on behalf of a person's work in the industry, and a military use performing a combat or military operation. The method of claim 20, The use and the intelligent index for each use is calculated by using a code table of the technology required for each use of the robot, each technology for each use is given a weight and according to the level that the technology for each use is applied to the robot A method of assigning an intelligence index to any robot, characterized by determining an intelligent index for each use. The method of claim 22, The weight of the use-specific technology may include one or more of an operation degree, a hardware technology, a sensing technology, a communication / radar technology, a database / memory use technology, a program / algorithm utilization technology, and a learning / creative capability technology. A method of assigning an intelligence index to any robot characterized. The method of claim 20, When the intelligence index is assigned to the robot, the total intelligence level of the robot is calculated by using the intelligence index of the robot and the intelligence index for each use, and the intelligence index of the robot is set using a predetermined intelligence index of the organism. And a method of assigning an intelligence index to any robot, further comprising: assigning an organism code corresponding to the overall intelligence level. The method of claim 24, In marking the intelligence index on the robot, the overall intelligence level is displayed together with the organism code, the intelligence index for each purpose is displayed together with the usage of the robot, and the cognitive technique, the determination technique, and the operation technique. To assign an intelligent index to any robot, characterized in that for identifying and marking each. In the method of giving the use and the application-specific intelligence index to any robot, The use of the robot to provide useful services to human welfare or facilities, the use of entertainment to carry out work that interacts with people and entertains, the medical use to replace or assist the work of doctors or nurses, and the risk of being difficult to do Using the code table of the technology required for each purpose of the robot, it is classified into one or more of dangerous work use for performing work, industrial use for human work in industry, and military use for combat or military operation. The robot calculates the use-specific and the use-specific intelligence index, wherein each use-specific technology is weighted, and the use-specific technology determines the use-specific intelligence index of the robot according to the level applied to the robot. Use and assign intelligent index by use to any robot How to. The method of claim 26, When the intelligence index is assigned to the robot, the total intelligence level of the robot is calculated by using the intelligence index of the robot and the intelligence index for each use, and the intelligence index of the robot is set using a predetermined intelligence index of the organism. And a method of assigning an intelligent index for each use to each robot, further comprising: assigning an organism code corresponding to the overall intelligence level. The method of claim 26, The weight may include any one or more of an operation degree, a hardware technology, a sensing technology, a communication / radar related technology, a database / memory use related technology, a program / algorithm utilization related technology, and a learning / creative ability related technology. To give usage and usage-specific intelligence indexes to your robot.

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