Emotion-spatiotemporal information-based robot service autonomous cognition method and robot

A robot and emotion technology, applied in the field of service robots, can solve the problems that restrict the development of service robots like humanization and intelligence, and insufficient consideration of user emotional factors, so as to improve the degree of intelligence and personification, and enhance the effect of service experience.

Active Publication Date: 2018-09-07
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the introduction of intelligent space ontology technology has opened up a new way for the cognitive field of service robots, due to the lack of

Method used

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  • Emotion-spatiotemporal information-based robot service autonomous cognition method and robot
  • Emotion-spatiotemporal information-based robot service autonomous cognition method and robot
  • Emotion-spatiotemporal information-based robot service autonomous cognition method and robot

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Experimental program
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Embodiment 1

[0053] This embodiment discloses a robot service autonomous cognition method based on emotion-spatial-temporal information, such as figure 1 shown, including the following steps:

[0054] Step 1: Construct an emotion-spatio-temporal ontology model, and update the ontology model in real time based on the emotion-spatio-temporal information acquired in real time by the smart space;

[0055] Step 2: For the user's emotion-spatial-temporal information matching service in the smart space, construct an emotion-based service task reasoning rule base;

[0056] Step 3: using the service task inference rule base as a training sample, training a BP neural network to build an inference engine;

[0057] Step 4: Obtain the current emotion-spatial-temporal information according to the ontology model updated in real time, and use the inference engine to infer the service to be executed by the robot;

[0058] Step 5: Use the user's emotional state as the reward and punishment feedback signal...

Embodiment 2

[0097] The purpose of this embodiment is to provide a computer-readable storage medium for a service robot or a server device in an intelligent space.

[0098] A computer-readable storage medium, which stores a pre-established service task inference rule base and a computer program that can run on a processor. When the processor executes the program, the following steps are implemented:

[0099] Receive real-time emotional-spatial-temporal information acquired by the smart space to update the constructed emotional-spatial-temporal ontology model in real time;

[0100] Using the service task inference rule base as a training sample, train a BP neural network to build an inference engine;

[0101] The current emotion-spatial-temporal information is obtained according to the ontology model updated in real time, and the reasoning machine is used to infer the service to be performed by the robot.

[0102] Further, the following steps are also implemented:

[0103] The user's emot...

Embodiment 3

[0105] The purpose of this embodiment is to provide a service robot.

[0106] A service robot includes a processor and the computer-readable storage medium described in Embodiment 2. When the processor executes, it performs autonomous cognition of services, and controls the robot to perform corresponding services according to the cognition results.

[0107] The steps involved in the devices of the above embodiments 2 and 3 correspond to those of the method embodiment 1, and for specific implementation methods, please refer to the relevant description of the embodiment 1. The term "computer-readable storage medium" shall be construed to include a single medium or multiple media including one or more sets of instructions; and shall also be construed to include any medium capable of storing, encoding, or carrying A set of instructions to execute and cause the processor to execute any method in the present invention.

[0108] Simulation experiment and result analysis

[0109] ...

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Abstract

The invention discloses an emotion-spatiotemporal information-based robot service autonomous cognition method and a service robot. The method comprises the steps of building an emotion-spatiotemporalontology model, and based on emotion-spatiotemporal information obtained in real time in an intelligent space, performing real-time update on the ontology model; matching a service for the emotion-spatiotemporal information of a user in the intelligent space, and establishing an emotion-based service task inference rule library; by taking the service task inference rule library as a training sample, training a BP neural network to establish an inference engine; and according to the ontology model updated in real time, obtaining current emotion-spatiotemporal information, and inferring the service to be executed by the robot through adopting the inference engine. According to the method, the intelligence and personification level of the family service robot can be effectively improved, so that the service experience of the user is enhanced.

Description

technical field [0001] The invention belongs to the field of autonomous service of intelligent space robots, and in particular relates to an autonomous cognition method of robot service and a service robot based on emotion-time-space information. Background technique [0002] With the increasing maturity of artificial intelligence technology, home service robot technology has also made achievements that cannot be underestimated. The bionic humanoid robot "Atlas" can complete a series of actions such as walking like a human being, going up and down steps, and climbing ladders. Robots not only behave like humans, they also have the same perception systems as humans, such as vision and hearing. The development of artificial intelligence has made the boom in robots enduring. With the popularity of home service robots in ordinary families, the demand for their convenient operation is also deepening. When the robot enters the home environment, its interaction objects have change...

Claims

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Application Information

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IPC IPC(8): G06N3/00G06N3/04G06N3/08G06N5/04B25J11/00
CPCG06N3/008G06N3/084G06N5/04B25J11/0005B25J11/008G06N3/044
Inventor 路飞姜媛田国会刘硕孙晓红
Owner SHANDONG UNIV
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