Autonomous Drone Flight Paths With Random Regional Navigation
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Solution Overview
Problem
Existing drones require user input for travel or are limited to predetermined paths, lacking autonomy in random or pseudo-random movement within a region.
Innovation Solution
An autonomous drone system equipped with a processor and memory that generates and executes random or pseudo-random flight paths, using sensors and flight hardware to navigate without user intervention, allowing for recreational and surveillance applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a predetermined travel path is programmed into the drone, then the drone can travel autonomously to a destination, but the drone lacks the ability to move randomly or pseudo-randomly within a region
Solution Approach 1:
The system dynamically switches between different flight control modes (predetermined path following and random/pseudo-random movement) based on operational requirements. The processor can transition the drone from following a fixed programmed path to executing random movement patterns within a defined region, providing both autonomous operation and adaptability.
Solution Approach 2:
The system changes the control parameters from fixed predetermined coordinates to dynamically generated random or pseudo-random coordinates. By modifying the movement parameters from static (predetermined path) to dynamic (random generation), the drone gains versatility while maintaining autonomous operation.
2Ease of operation
If the drone is equipped to sense specific cues from its environment to guide it towards a predetermined destination, then the drone can navigate autonomously, but it requires user input or pre-programming for travel
Solution Approach 1:
The drone generates its own flight paths using onboard random or pseudo-random number generation capabilities. Instead of requiring external user input or pre-programmed destinations, the system autonomously creates and executes its own movement patterns within defined boundaries, fully eliminating the need for user intervention during operation.
Solution Approach 2:
The system pre-defines operational boundaries and parameters for random movement before deployment, then autonomously operates within these constraints without requiring real-time user input. The preliminary setup of movement parameters enables full automation during actual flight operations.
Data Source
AI summary
An aerial device is provided. The aerial device includes a processor and a memory that includes instructions configured to cause the processor to perform certain operations when the processor executes the instructions. The operations may include receiving a first signal indicative of a first position of the aerial device. The operations may also include generating, based on the first signal and based on a randomly or pseudo-randomly generated sequence, a second signal configured to actuate flight hardware of the aerial device to a second position.