Fractal Control Interface for Adaptive Autonomous Path Correction
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Solution Overview
Problem
Current communication methods lack the ability to provide instant and accurate feedback of emotional responses, and existing input systems for computing devices are inflexible and discontinuous, making data entry and command execution cumbersome, especially for applications like projectile guidance where accuracy is critical.
Innovation Solution
A novel user interface and method that enables continuous, uninterrupted data input and command execution using a gridded touchscreen interface, allowing for real-time reaction monitoring and feedback, and self-correction mechanisms for projectile trajectories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional input methods (typing, stylus, keyboard) are used, then data entry can be performed, but the process lacks flexibility and continuity making it cumbersome
Solution Approach 1:
The patent replaces mechanical input methods (typing, stylus, keyboard) with a gesture-based control system that uses movements of the autonomously traveling object itself as input. The object's position changes, orientations, and movements are captured by sensors and translated into commands, eliminating the need for separate mechanical input devices and enabling continuous, flexible data entry.
Solution Approach 2:
The autonomously traveling object serves dual purposes: it performs its primary function of travel/delivery while simultaneously serving as its own input device. The object's inherent movements and position changes are harvested as control inputs, allowing the system to input data and execute commands without requiring external input mechanisms, thereby improving ease of operation and reducing time loss.
2Measurement precision
If GPS receivers are installed to improve projectile accuracy, then location estimation improves, but system cost increases
Solution Approach 1:
The patent introduces embedded controllers and sensors as intermediary components that work in conjunction with existing navigation systems. These controllers process sensor data (accelerometers, gyroscopes, magnetometers) to calculate position, velocity, and orientation, serving as a cost-effective intermediary that enhances measurement precision without requiring expensive GPS receivers alone.
Solution Approach 2:
The system changes the parameters used for location determination by relying on inertial measurement unit (IMU) data from accelerometers, gyroscopes, and magnetometers rather than solely depending on GPS signals. By processing these physical parameter changes and integrating them over time, the system achieves accurate location estimation without the high cost associated with multiple GPS receivers or enhanced GPS systems.
3Reliability
If GPS signals are used for navigation, then accurate location data is obtained, but GPS denial or jamming can prevent signal reception
Solution Approach 1:
The patent implements inertial navigation capabilities using embedded controllers and sensors that can operate independently of GPS signals. This beforehand cushioning ensures that when GPS signals are denied or jammed, the system can continue navigating using previously calibrated data and onboard sensor measurements, maintaining navigation reliability without vulnerability to external interference.
Solution Approach 2:
The system continuously monitors its position, velocity, and orientation using onboard sensors and provides feedback to the control algorithms. This feedback loop allows the system to self-correct and maintain accurate navigation even when GPS signals are unavailable, as the inertial measurement units provide continuous feedback on the object's state changes, enabling reliable operation under GPS denial conditions.
4Adaptability or versatility
If the autonomously traveling object follows a predetermined path, then navigation is simple, but it cannot adapt to obstacles or changing conditions
Solution Approach 1:
The patent implements dynamic path planning where the predetermined path is continuously adjusted based on real-time sensor feedback and environmental conditions. The control system dynamically modifies navigation parameters such as position, velocity, and orientation to adapt to obstacles and changing conditions, transforming a static path-following system into a dynamic, adaptive navigation system that balances simplicity with versatility.
Data Source
AI summary
An interface autonomously collects input data to control the operation or travel path of an object, includes a plurality of independently operating sensors that detect the occurrence of an event. A master fractal controller initiates a space-variant fractalization protocol in order to collect the input data related to the detected event. In response to the input, the master fractal controller sends control signals to a servient controller to control the operation or travel path of the object. The master fractal controller initiates the space-variant fractalization protocol by identifying or defining a fractal space, and by further initiating sub-servient fractals in sub-servient spaces, within which an intersection of a graphical function layer that includes an executable grid with a graphical data layer causes a command or function be executed within the sub-servient fractal space.