Natural Language Control for Multi-Object Mechanical Systems
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Solution Overview
Problem
Current systems for interacting with machines and devices in human environments, such as robotic systems and autonomous vehicles, often require unnatural command syntax, making it difficult for users to communicate effectively using natural language inputs to achieve specific goals or objectives.
Innovation Solution
A human interaction system that processes natural language inputs, identifies objects and mechanical systems within an environment, and generates instructions for mechanical systems to perform user-defined tasks, utilizing sensor data, state graphs, and enhanced state graphs to facilitate natural communication between users and machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language input is used for interacting with machines, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system comprising a processor and memory that mediates between the user's natural language input and the mechanical system's command execution. This intermediary translates colloquial speech into structured control commands, thereby improving ease of operation while managing the inherent complexity through a dedicated translation layer rather than requiring complex modifications to the mechanical system itself.
Solution Approach 2:
The patent replaces traditional mechanical or electronic control interfaces with a language-based interface. Instead of requiring users to manipulate physical controls or type commands in specific formats, the system accepts natural language speech inputs, converting them into executable commands. This substitution significantly improves ease of operation by leveraging the user's existing language skills rather than requiring learning of specialized control syntax.
2Adaptability or versatility
If natural language processing is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal natural language processing system that can handle multiple types of commands and adapt to different contexts. The processor is designed to interpret various speech patterns and translate them into appropriate mechanical system commands, making the system adaptable to diverse user inputs while maintaining a unified processing architecture that manages complexity through generalization rather than multiple specialized subsystems.
Data Source
AI summary
A method is provided. The method includes obtaining an enhanced state graph. The enhanced state graph represents a set of objects within an environment and a set of positions of the set of objects. The enhanced state graph includes a set of object nodes, a set of property nodes and a set of goal nodes to represent a set of objectives. The method also includes generating a set of instructions for a set of mechanical systems based on the enhanced state graph. The set of mechanical systems is configured to interact with one or more of the set of objects within the environment. The method further includes operating the set of mechanical systems to achieve the set of objectives based on the set of instructions.