Intelligent Robot Judgment System Task Coordination
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Solution Overview
Problem
Current judgment systems for robots, which integrate dialog and task-planning systems, face complexity and performance deterioration due to the lack of a mechanism that effectively manages interactions, task priorities, and user inputs, especially when tasks are performed during dialogues or require sensor inputs.
Innovation Solution
A multi-dimensional Finite State Machine (FSM) based task-planning system coupled with a dialog system, including a leader agent, action agent, interaction agent, and situation recognizer, which manages dialog progress and task execution through a communication protocol, ensuring seamless interaction and task management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a judgment system is realized by coupling a dialog system and a task-planning system as independent systems, then the system can perform dialog and task functions, but the system complexity increases and performance deteriorates due to the lack of coordination mechanism
Solution Approach 1:
The patent introduces a judgment system as an intermediary component that mediates between the dialog system and task-planning system. This judgment system receives inputs from both systems, processes them according to predefined rules, and generates coordinated outputs. The mediator structure allows independent dialog and task systems to function together without direct complex interactions, thereby maintaining functionality while reducing overall system complexity.
2Adaptability or versatility
If multiple cases are considered in the judgment system (dialog during task, additional tasks, sensor inputs, scheduled tasks), then the system can handle various scenarios, but the system complexity and difficulty of design increase
Solution Approach 1:
The judgment system is segmented into distinct processing modules, each handling specific cases: dialog-during-task processing, additional task management, sensor input handling, and scheduled task execution. By dividing the complex judgment logic into separate manageable segments, the system can handle multiple scenarios effectively while reducing the design complexity of each individual module. Each segment can be independently developed, tested, and maintained.
3Ease of manufacture
If the dialog system and task-planning system are independently designed, then each system can be optimized separately, but the coordination between them becomes complicated and performance deteriorates
Solution Approach 1:
The judgment system serves as a reliable intermediary that ensures proper coordination between independently designed dialog and task-planning systems. It receives status information from both systems, applies coordination rules, and generates appropriate control signals. This mediator approach maintains the independence and optimization benefits of separate system design while ensuring reliable coordination through centralized judgment and control logic.
Data Source
AI summary
Disclosed herein are a robot with a judgment system to enable implementation of multi-dimensional recognitions, thoughts and actions, and a control method thereof. The judgment system includes a dialog system and a task-planning system. The dialog system includes a dialog manager to manage the progress of a dialog of the intelligent robot with a user. The task-planning system includes a leader agent, an action agent and an interaction agent and serve to control a goal, plan and action of a task to be performed by the intelligent robot based on the dialog. The judgment system assists separation of concerns and consequently, enhances convenience of development. The judgment system of the robot contains a mechanism that considers a great number of cases, such as a task priority, immediate user input, inherent robot task, etc., enabling implementation of multi-dimensional recognitions, thoughts and actions.