Natural Language Robot Control for Flexible Command Mapping
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Solution Overview
Problem
Existing devices require manual creation of interfaces and controls for remotely controlled devices, which is time-consuming and limits user interaction.
Innovation Solution
A system that uses natural language commands to control robotic devices, deploying a natural language model to translate user requests into actionable commands and logic, which are then converted to low-level machine controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual creation of interfaces and controls is used for remotely controlled devices, then device control functionality is achieved, but development time and resource consumption increase significantly
Solution Approach 1:
The system enables self-service by allowing the robotic device to automatically generate and adapt its control interface based on natural language commands from users. The device autonomously creates the mapping between user intent and machine controls without requiring manual interface design, thereby eliminating development time while maintaining full control functionality.
Solution Approach 2:
The control interface is made dynamic and adaptable through natural language processing. Instead of static predefined controls, the system dynamically generates contextual commands based on the user's spoken or written instructions, allowing the interface to evolve and adapt to different user needs and scenarios without manual reconfiguration.
2Ease of operation
If predefined controls are used for device operation, then device control is achieved, but user interaction flexibility and intuitiveness are reduced
Solution Approach 1:
The patent replaces the mechanical system of physical buttons, switches, and predefined controls with a natural language processing system. Users can interact with the robotic device using everyday speech or text, which is then translated into appropriate machine commands. This substitution eliminates the need for users to learn specific control mechanisms while maintaining precise device control.
Solution Approach 2:
The natural language interface serves multiple functions simultaneously: it acts as a control mechanism, a programming interface, and an adaptive communication channel. The same natural language system can handle navigation commands, task assignments, parameter adjustments, and error corrections, providing universal adaptability across different operational contexts without requiring separate controls for each function.
3Adaptability or versatility
If complex device capabilities are implemented, then device functionality is enhanced, but user training requirements increase
Solution Approach 1:
The natural language processing system serves as an intermediary layer between the user and the complex device capabilities. Instead of exposing users to intricate control parameters and technical specifications, the intermediary translates simple natural language requests into complex sequences of machine commands, thereby hiding the complexity while preserving full device functionality.
Data Source
AI summary
Disclosed are systems and methods to control a robotic device using natural language commands. A natural language command may be received by a system. The system may convert the command into low-level machine controls and logic for implementation by a robotic device to achieve a desired action. In some instances, an API module may include mapping data to associate high-level commands with low-level machine controls. A language model may process the natural language command (input), high-level commands, and/or other information, such as system state, sensor observation data, parameters, etc., to determine one or more commands to execute by a robotic device and possibly logic for execution by the robotic device. The robotic device may receive the low-level machine controls and logic to cause the robotic device to perform the requested actions.