AI Ally Control Interface for Human-AI Team Coordination

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing artificial intelligence objects lack controllable operations, limiting their collaboration with human users in interactive environments.

Innovation Solution

A method and apparatus that enable controlling artificial intelligence objects through a terminal or server using a neural network model, allowing users to issue control instructions for target operations, such as attacking, retreating, or assembling, thereby enhancing collaboration between humans and AI objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If artificial intelligence objects operate autonomously without user control, then automation level is improved, but ease of operation deteriorates because users cannot direct specific actions

Engineering Contradiction:
Improveautonomous operationVSAvoiduser control capability
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The system dynamically adjusts the level of AI autonomy based on user input. The AI object can operate autonomously to perform basic tasks while allowing user control when specific actions are needed, creating a flexible control mode that transitions between automation and manual operation

Inventive Principle:
Principle #15Dynamics

2Device complexity

If artificial intelligence objects lack controllable operations, then device complexity is reduced, but productivity deteriorates due to limited collaboration capability

Engineering Contradiction:
Improvecontrol mechanismVSAvoidcollaboration efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The control instruction mechanism is designed to be universal, supporting multiple operation types (attack, retreat, assemble, etc.) through a single unified interface. This allows the AI object to perform diverse tasks while maintaining simple control structure

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Ease of operation

If users can directly control AI objects through control instructions, then ease of operation is improved, but device complexity worsens due to additional control mechanisms

Engineering Contradiction:
Improveinstruction issuanceVSAvoidcontrol system structure
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The control instruction acts as an intermediary between the user and the AI object's neural network model. Instead of directly manipulating complex AI parameters, users issue high-level instructions that are translated by the system into appropriate actions, simplifying the control interface

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12528016B2Artificial intelligence object control method and apparatus, device, and storage medium
Publication Date: 2026.01.20 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US12528016B2 patent drawing
  • US12528016B2 patent drawing
  • US12528016B2 patent drawing

AI summary

Embodiments of this application disclose a method of controlling an artificial intelligence object performed by a terminal. The method includes: displaying, by the terminal, a virtual scene interface, the virtual scene interface including a virtual object controlled by the terminal; detecting, by the terminal, a control instruction via the virtual scene interface, the control instruction instructing an artificial intelligence object in an ally camp of the controlled virtual object to perform a target operation; and controlling, by the terminal based on the control instruction, the artificial intelligence object to perform the target operation.