Intelligent Cockpit Agent Routing Without Semantic Templates
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Solution Overview
Problem
The high cost and complexity of developing semantic templates for voice recognition and semantic understanding in intelligent cockpits necessitate a more efficient interaction method.
Innovation Solution
An intelligent cockpit interaction method utilizing a first agent and multiple second agents to distribute and execute interaction requests without requiring semantic templates, enabling interaction through voice requests and event triggers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If semantic templates are used for voice recognition and semantic understanding, then interaction accuracy is improved, but development cost and system complexity increase
Solution Approach 1:
The patent extracts and removes the semantic template component from the interaction system. Instead of using traditional semantic templates for voice recognition and understanding, the system directly processes voice requests through an agent architecture, eliminating the need for complex template matching while maintaining interaction accuracy
Solution Approach 2:
The patent introduces an agent as an intermediary component between voice recognition and execution. The agent receives recognized voice content, determines appropriate actions, and coordinates with multiple second agents to execute tasks, replacing the traditional semantic template matching mechanism with a more flexible agent-based mediation approach
2Adaptability or versatility
If semantic templates are developed for various voice requests, then semantic understanding capability is improved, but development cost increases
Solution Approach 1:
The patent creates a universal agent architecture that can handle diverse voice requests without requiring separate semantic templates for each scenario. The first agent and multiple second agents work together to process various interaction requests, providing multi-functional capability that replaces the need for extensive template development across different domains
Solution Approach 2:
The agent system performs self-service by autonomously determining how to process incoming voice requests. The first agent independently analyzes the request content and automatically selects appropriate second agents to handle specific tasks, eliminating the need for manual template creation and maintenance for each voice command scenario
3Adaptability or versatility
If multiple second agents are configured for different functions, then interaction scenario coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments the interaction system into specialized second agents, each responsible for specific functions or domains. The first agent acts as a coordinator that divides incoming requests and routes them to appropriate second agents, allowing the system to handle diverse scenarios while maintaining manageable complexity through functional segmentation
Data Source
AI summary
Embodiments of the present disclosure provide an intelligent cockpit interaction method, means, and system, the intelligent cockpit including a first agent and at least one second agent, the method including: after acquiring a first interaction request, the first agent determining at least one target agent for processing the first interaction request, and the at least one second agent including the target agent; the first agent sending a first request information corresponding to the first interaction request to the target agent; and the target agent performing an operation corresponding to the first request information. The scheme provided by the embodiments of the present disclosure enables the interaction of intelligent cockpits, and the interaction process does not need to utilize semantic templates for semantic understanding, and thus does not need to develop corresponding semantic templates for various voice requests, thus enabling cost reduction.