An Adaptive Interaction Control Method for Social Scenarios of Intelligent Machines

Abstract

This invention discloses an adaptive interaction control method for social scenarios of intelligent robots, belonging to the field of intelligent robot interaction control technology. This method acquires environmental and behavioral features through a data acquisition module, generates social scenario types in real time through a scene recognition module, retrieves corresponding interaction control parameters through a rule matching module, and adjusts interactive behaviors such as following distance, volume level, and silence state through an execution drive module. This invention can be implemented using pure digital logic circuits, featuring fast response speed, high security, and strong anti-interference capabilities, and can be widely applied to various intelligent robot scenarios such as home services, business reception, and medical companionship.

Description

Technical Field

[0001] This invention relates to the field of intelligent robot interactive control technology, and in particular to an adaptive interactive control method and device for social scenarios of intelligent robots. Background Technology

[0002] With the development of artificial intelligence technology, intelligent robots have been applied in various fields such as homes, businesses, and healthcare. However, most existing intelligent robot interaction control systems are implemented in software, which presents the following technical problems: 1. High response latency: Software execution requires multiple steps such as instruction parsing, scheduling, and execution, making it difficult to meet the needs of real-time interaction; 2. Security needs improvement: The software code may be tampered with or attacked, which could lead to abnormal interactive behavior; 3. Insufficient anti-interference capability: In complex electromagnetic environments, the software system may experience instability. 4. Limited social adaptability: Most existing systems can only implement simple interaction logic and are difficult to adapt to complex and ever-changing human social scenarios.

[0003] Therefore, there is a need in this field for an intelligent body interaction control technology that has a fast response speed, high security, strong anti-interference ability, and can adapt to complex social scenarios. Summary of the Invention

[0004] The purpose of this invention is to provide an adaptive interaction control method and device for social scenarios of intelligent machines, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: An adaptive interaction control method for social scenarios for intelligent machines includes the following steps: S1. Obtain environmental characteristic data of the environment in which the intelligent organism is located and / or behavioral characteristic data of the interactive objects through the data acquisition module; S2. The feature data is classified in real time by the scene recognition module to generate a current social scene type identifier; S3. The rule matching module retrieves the preset interaction control parameters corresponding to the social scene type from the rule storage module based on the social scene type identifier. S4. By executing the driving module according to the preset interaction control parameters, the intelligent body is controlled to adjust its external interaction behavior.

[0006] The core functional module can be implemented by pure digital logic circuits; the rule storage module can adopt a rule register group, and the relevant parameters can be fixed in the non-volatile storage circuit when the intelligent body is powered on and initialized, and cannot be modified during operation.

[0007] The functional modules of this invention can be distributed locally on the intelligent machine and / or on remote servers according to actual needs. The technical solutions implemented through distributed computing fall within the protection scope of this invention. The functional modules described in this invention can be implemented using pure digital logic circuits, microprocessor-executed software code, FPGA firmware, ASIC circuits, etc.

[0008] The present invention also provides a social scene adaptive interaction control circuit device for intelligent machines, comprising a data acquisition circuit, a scene recognition logic circuit, a rule register group, a priority arbitration logic circuit and an execution drive circuit connected in sequence. Beneficial effects

[0009] 1. Fast response speed: The pure hardware implementation eliminates the need for software scheduling, reducing response latency to the microsecond level; 2. High security: The rules are fixed in the hardware circuit, which reduces the risk of tampering or attack; 3. Strong anti-interference capability: Pure digital logic circuits have good stability in complex electromagnetic environments; 4. Good social adaptability: It can recognize various complex social scenarios and automatically adjust its interaction behavior, which helps to improve the user experience.

[0010] Ethical Compliance Statement The data collection and processing procedures involved in this invention comply with the requirements of relevant laws and regulations. Only environmental and behavioral characteristic data necessary for achieving interactive control are collected. No sensitive personal information unrelated to the purpose of this invention is collected. Furthermore, all data is processed locally and is not uploaded to third-party servers. Detailed Implementation

[0011] The present invention will now be described in detail with reference to specific embodiments.

[0012] An adaptive interaction control method for social scenarios for intelligent machines includes the following steps: S1. Obtain environmental characteristic data of the environment in which the intelligent organism is located and / or behavioral characteristic data of the interactive objects through the data acquisition module; S2. The feature data is classified in real time by the scene recognition module to generate a current social scene type identifier; S3. The rule matching module retrieves the preset interaction control parameters corresponding to the social scene type from the rule storage module based on the social scene type identifier. S4. By executing the driving module according to the preset interaction control parameters, the intelligent body is controlled to adjust its external interaction behavior.

[0013] When the system detects that the user is being approached, the drive module can reduce the following distance from the default 1.5 meters to a protection distance of 0.8 meters and increase the environmental awareness sampling frequency to enhance alertness. When the system detects that the user is being asked for directions, it can move the smart device to a position 0.5 meters behind and to the side of the user and turn off the voice output circuit to remain silent. When the system detects that the user is being interviewed, it can move the smart device back to a distance of 3 meters and turn off the voice output until it detects that the interviewing device has been removed.

[0014] When an elevator scene is detected, the drive module can shorten the following distance from the default 1.5 meters to a compact 0.3 meters, limit the movement speed to no more than 0.5 m / s, and disable voice output. When a revolving door scene is detected, the smart device can be driven to enter the revolving door area synchronously with the owner. When the owner crouches down, the current following or movement task can be paused, the device can remain in place and wait, and the camera's physical shutter can be triggered to close to protect privacy. Following will resume after the owner stands up. When the owner runs, the following distance can be increased from the default 1.5 meters to a running following distance of 5 meters.

[0015] When a silent environment is detected, the execution driver module can force the voice output volume to zero, switching to silent interaction mode. When a barefoot environment is detected, the voice interaction module can be triggered to ask the user whether to remove their shoes. When a video conferencing scenario is detected, all active interaction requests can be frozen, movement into the image acquisition unit's field of view can be prohibited, the voice output volume can be set to zero, and only a low-brightness indicator light flashing can indicate that the system is ready to operate.

[0016] When multiple social scenario types are triggered simultaneously, the priority arbitration module generates a unique scenario type identifier according to preset priority rules. The priority rules are as follows: scenarios involving the owner's safety take precedence over scenarios involving social etiquette, and scenarios involving privacy protection take precedence over scenarios involving interactive convenience. For example, when the owner runs into the elevator, if both the running scenario and the elevator scenario are triggered simultaneously, the running scenario, which involves sports safety, has a higher priority. The device will first use the longer following distance corresponding to the running scenario, and then switch to a closer following distance after entering the elevator and stabilizing.

[0017] A social scene adaptive interaction control circuit device for intelligent machines includes a data acquisition circuit, a scene recognition logic circuit, a rule register group, a priority arbitration logic circuit, and an execution drive circuit connected in sequence. The data acquisition circuit acquires environmental and personnel feature data surrounding the intelligent machine; the scene recognition logic circuit classifies the feature data in real time and generates a social scene type identifier signal; the rule register group stores a preset correspondence between social scenes and interaction control parameters, which cannot be modified during operation; the priority arbitration logic circuit prioritizes multiple social scenes when they are triggered simultaneously; and the execution drive circuit drives the hardware execution unit of the intelligent machine to adjust its interactive behavior according to the preset interaction control parameters.

[0018] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for adaptive interaction control in social scenarios for intelligent machines, characterized in that, Includes the following steps: S1. Obtain environmental characteristic data of the environment in which the intelligent organism is located and / or behavioral characteristic data of the interactive objects through the data acquisition module; S2. The feature data is classified in real time by the scene recognition module to generate a current social scene type identifier; S3. The rule matching module retrieves the preset interaction control parameters corresponding to the social scene type from the rule storage module based on the social scene type identifier. S4. By executing the driving module according to the preset interaction control parameters, the intelligent body is controlled to adjust its external interaction behavior.

2. The method according to claim 1, characterized in that, The core functional module can be implemented by pure digital logic circuits; the rule storage module can adopt a rule register group, and the relevant parameters can be fixed in the non-volatile storage circuit when the intelligent body is powered on and initialized, and cannot be modified during operation.

3. The method according to claim 1, characterized in that, In step S1, the data acquisition module includes a sensor module and / or a communication interface module; the sensor module includes at least two of the following: a vision sensor, a depth sensor, a millimeter-wave radar, an inertial measurement unit, and a microphone array.

4. The method according to claim 1, characterized in that, In step S3, the parameters stored in the rule storage module include at least one of factory-fixed parameters, user configuration parameters, cloud update parameters, and hardware real-time learning generated parameters.

5. The method according to claim 1, characterized in that, In step S4, the execution driving module can also generate interactive behavior adjustment prompts and display them to the user, and perform corresponding interactive behavior adjustments according to the user's confirmation instructions.

6. The method according to claim 1, characterized in that, It also includes a priority arbitration module: when multiple social scene types are triggered simultaneously, the priority arbitration module generates scene type identifiers according to preset priority rules; the priority rules are: scenes involving owner safety protection take precedence over scenes involving social etiquette, and scenes involving privacy protection take precedence over scenes involving interactive convenience.

7. The method according to claim 1, characterized in that, The social scenario types include at least one of the following: the host being approached by a stranger, the host being asked for directions, the host being interviewed, entering an elevator, entering a revolving door, the host squatting down, the host running, entering a quiet place, entering a place where shoes are removed, and a video conference.

8. The method according to claim 7, characterized in that, When the social scene type identifier indicates that the owner is being approached, the execution drive module can shorten the following distance from the default value to the protection distance value; when it indicates that the owner is being asked for directions, it can drive the smart body to move to the owner's side and rear return position and remain silent.

9. The method according to claim 7, characterized in that, When the social scene type identifier indicates an elevator entry scene, the execution drive module can shorten the following distance from the default value to a compact distance value and limit the movement speed; when the identifier indicates a video conference scene, it can freeze the active interaction request and restrict movement into the image acquisition field of view.

10. A social scene adaptive interaction control circuit device for intelligent machines, characterized in that, It includes a data acquisition circuit, a scene recognition logic circuit, a rule register group, a priority arbitration logic circuit, and an execution drive circuit that are connected in sequence.