Robot Exit Path Discovery Using Light and Airflow Cues
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Solution Overview
Problem
Autonomous robots navigating enclosed spaces face challenges in finding alternative exit routes when conventional navigation fails, especially in environments where remote control is impractical due to distance or lack of electromagnetic waves, such as underwater or in caves.
Innovation Solution
The system analyzes environmental data like light sources and airflow using sensors to identify potential exit locations, utilizing historical data to validate and communicate an alternative exit route to the robot, enabling autonomous navigation without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous robots use conventional navigation methods in enclosed spaces, then they can navigate in open environments, but they fail to find alternative exit routes when conventional navigation fails
Solution Approach 1:
The robot performs self-rescue by autonomously analyzing environmental cues (light sources, airflow, temperature gradients) to identify exit locations without external human intervention or control signals
Solution Approach 2:
The patent replaces conventional mechanical navigation systems with environmental sensing systems that detect light intensity, airflow direction, and temperature gradients to determine exit routes
2Ease of operation
If remote control is used to guide robots, then human intervention can direct navigation, but it becomes impractical due to distance or lack of electromagnetic waves
Solution Approach 1:
The robot autonomously makes navigation decisions by processing environmental sensor data locally, eliminating the need for external control signals and human intervention
Solution Approach 2:
Environmental cues such as light sources, airflow, and temperature gradients serve as intermediaries that guide the robot without requiring direct electromagnetic communication between operator and robot
3Adaptability or versatility
If robots navigate in unknown enclosed environments, then they can explore new spaces, but they cannot determine exit locations without prior mapping
Solution Approach 1:
The robot proactively searches for environmental indicators of exits (light sources, airflow patterns, temperature changes) while navigating, rather than waiting to detect them passively
Solution Approach 2:
The patent replaces structured mapping and localization systems with direct environmental sensing that detects physical gradients (light, air flow, temperature) associated with exit locations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables autonomous robots to determine and navigate to alternative exit routes based on environmental analysis, ensuring safe exit from enclosed spaces without human intervention, even in challenging or inaccessible environments.
Implementation Method 1
The processor captures the environment with one or more environment sensors... analyzes the captured environment to determine an exit location based on light sources and atmospheric flow parameters
Implementation Method 2
analyzes the captured environment to determine an exit location based on light sources and atmospheric flow parameters
Data Source
AI summary
The present invention may include a processor that monitors location of a robot in an environment. The processor captures the environment with one or more environment sensors. The processor analyzes the captured environment to determine an exit location. The processor validates an exit route based on historical data and the exit location and communicates the exit route to the robot.