Robot Behavior Tree With Integrated Dialogue Flow Control
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Solution Overview
Problem
Existing robot systems face challenges in providing instantaneous and appropriate responses to environmental changes and user interactions due to the separate implementation of dialogue flow control and behavior trees, making it difficult to optimize task performance across various modalities.
Innovation Solution
A robot system that integrates a behavior tree with a node for controlling dialogue flow, using a memory to store instructions and data, and a processor to acquire and process user interactions, including learnable nodes for selecting optimal sub-trees or sequences to perform tasks based on user intent and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dialogue flow control and behavior trees are implemented separately, then each module can be developed independently, but the robot cannot provide instantaneous and appropriate responses to environmental changes and user interactions
Solution Approach 1:
The patent merges dialogue flow control and behavior trees into a unified system where the behavior tree includes specialized nodes (dialogue start nodes, dialogue end nodes, dialogue continue nodes) that directly control dialogue flow. This integration allows the robot to respond instantaneously to environmental changes and user interactions by executing appropriate dialogue actions within the behavior tree structure, eliminating the lag and disconnect caused by separate implementations.
2Productivity
If a behavior tree is used to perform complex actions, then hierarchical action composition is achieved, but it is difficult to optimize overall task performance across various modalities
Solution Approach 1:
The behavior tree nodes are designed with multi-functionality to handle various modalities within a unified framework. The dialogue control nodes can coordinate with perception modules, action execution modules, and other behavioral modules, allowing the same behavior tree structure to optimize task performance across different modalities (vision, audio, speech, manipulation) without requiring separate optimization for each modality.
3Speed
If separate modules are used for dialogue control and behavior execution, then module independence is maintained, but instantaneous response to user interactions cannot be achieved
Solution Approach 1:
The patent embeds dialogue control functionality directly within the behavior tree structure through specialized nodes. When a user interaction occurs, the behavior tree evaluates the relevant nodes (dialogue start, continue, or end nodes) and executes the appropriate dialogue action immediately, achieving instantaneous response. This merging eliminates the communication overhead and latency inherent in separate module architectures.
Data Source
AI summary
A robot and a controlling method thereof are provided. The robot includes a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: based on detecting a user interaction, acquire information on a behavior tree corresponding to the user interaction, and perform an action corresponding to the user interaction based on the information on the behavior tree, wherein the behavior tree includes a node for controlling a dialogue flow between the robot and a user.