Robotic Vehicle Operator Profiles for Automatic Flight Customization
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Solution Overview
Problem
Conventional robotic vehicles lack the ability to automatically customize their operations based on individual operator preferences and skill levels, often requiring manual setup and default configurations that may not be suited for specific tasks, leading to inefficient use and battery drain.
Innovation Solution
A processor-based system that identifies the current operator, retrieves and updates operator profiles, and dynamically configures the robotic vehicle's settings, including preference-based and performance-based settings, by analyzing operator inputs and sensor data to adapt to the operator's habits and skill levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the robotic vehicle uses default or standard configurations each time it is activated, then the setup process is simple and quick, but the configuration may be poorly suited for the operator's planned activity or application
Solution Approach 1:
The system performs preliminary actions by automatically configuring the robotic vehicle based on operator profiles before the operator begins using it. The processor retrieves stored operator profiles and applies appropriate settings for functionality, flight control, and performance parameters, so the vehicle is ready for optimal performance without manual setup.
Solution Approach 2:
The robotic vehicle serves itself by automatically detecting which operator profile to use and configuring its own settings without operator intervention. The system monitors operator inputs, determines the current operator, and self-adjusts configuration parameters, eliminating the need for manual setup while ensuring task-appropriate settings.
2Adaptability or versatility
If the robotic vehicle is manually configured for each operator, then the configuration can be tailored to specific needs, but the setup process becomes time-consuming and complex
Solution Approach 1:
The robotic vehicle automatically performs the configuration task that would otherwise require manual operator input. The processor retrieves stored operator profiles and applies appropriate settings without operator intervention, eliminating time-consuming manual setup while maintaining customized configurations for each operator.
Solution Approach 2:
The system monitors operator inputs and determines when a different operator is using the vehicle, then automatically retrieves the appropriate profile and reconfigures settings. This feedback mechanism ensures the vehicle is always optimally configured for the current operator without requiring manual reconfiguration.
3Device complexity
If the robotic vehicle operates with fixed default settings, then the system complexity is low, but it cannot adapt to different operators' preferences and skill levels
Solution Approach 1:
The system transitions from fixed default settings to dynamic, operator-specific configurations. The processor automatically adjusts functionality, flight control, and performance settings based on the detected operator's profile, allowing the vehicle to adapt its behavior and parameters to match each operator's preferences and skill level.
Solution Approach 2:
The system changes multiple operational parameters simultaneously based on operator profiles, including functionality settings, flight control characteristics, and performance parameters. These parameter changes enable the vehicle to adapt to different operators while the processor manages the complexity of coordinating all adjustments.
4Adaptability or versatility
If the robotic vehicle continuously monitors and adapts to operator behavior, then it can provide personalized configurations, but energy consumption increases
Solution Approach 1:
The system performs configuration actions in advance by retrieving pre-stored operator profiles before intensive operation begins. The processor applies appropriate settings from previously collected operator habit information, reducing the need for continuous real-time analysis and monitoring during flight operations.
Solution Approach 2:
The system monitors operator inputs periodically rather than continuously, detecting when a different operator is using the vehicle and retrieving the appropriate profile at those intervals. This periodic monitoring approach provides personalized configuration while significantly reducing energy consumption compared to continuous real-time analysis.
Data Source
AI summary
Methods, systems, and devices for automatically customizing operation of a robotic vehicle are described. The method may include identifying an operator, retrieving an operator profile and associated metadata for the operator from a database, where the metadata includes operator habit information, and configuring the robotic vehicle based on existing preference-based and performance-based settings, where the existing preference-based and performance-based settings are based on the metadata. The methods may include identifying operator habit information during operation of the robotic vehicle, deriving updated preference-based and performance-based settings for the operator based on the identified operator habit information, and providing, to the database, modifications to the metadata associated with the operator profile of the operator.