Autonomous Mobile Robot Sensor Control Under Changing Sunshine
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Solution Overview
Problem
Autonomous mobile robots face increased detection variations due to sunshine conditions, affecting their ability to navigate autonomously, as existing systems do not effectively mitigate the impact of varying light conditions on sensor devices like cameras and laser sensors.
Innovation Solution
An autonomous mobile robot control system that includes a host management device capable of collecting sunshine condition data and calculating optimum parameters to reduce the influence of these conditions, which are then transmitted to and applied by the robot, using a learning model to adjust settings such as exposure time and noise filtering for sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous mobile robot uses sensor devices (camera, laser sensor) for autonomous navigation, then the robot can detect obstacles and navigate autonomously, but detection variations increase under varying sunshine conditions
Solution Approach 1:
The patent changes the parameters of the sensor device based on sunshine condition data. The host management device calculates optimum parameters (such as exposure time, gain, or filtering settings) that reduce the influence of sunshine conditions, and transmits these parameters to the autonomous mobile robot which then adjusts its sensor device accordingly. This dynamic parameter adjustment resolves the contradiction by maintaining detection accuracy across varying lighting conditions while preserving autonomous navigation capability.
Solution Approach 2:
The system implements a feedback mechanism where sunshine condition data is collected, analyzed, and used to adjust sensor parameters. The host management device continuously monitors sunshine conditions and provides feedback in the form of optimized parameters to the robot's sensor device, enabling the system to adapt to changing environmental conditions and maintain consistent detection performance.
2Measurement precision
If the robot adjusts sensor parameters to compensate for sunshine conditions, then detection accuracy is maintained, but system complexity increases due to parameter calculation and communication requirements
Solution Approach 1:
The patent introduces a host management device as an intermediary that handles the complex tasks of collecting sunshine condition data, calculating optimum parameters, and communicating with the autonomous mobile robot. This separates the complex parameter optimization logic from the robot itself, reducing the complexity burden on the robot's onboard systems while still achieving accurate detection under varying sunshine conditions.
3Measurement precision
If real-time sunshine condition data is collected and processed, then detection variations are suppressed, but data collection and processing time increase
Solution Approach 1:
The host management device collects sunshine condition data and calculates optimum parameters in advance, before the autonomous mobile robot needs to use them for navigation. By performing the data collection and parameter calculation beforehand, the system reduces the real-time processing burden and ensures that optimized parameters are ready when needed, maintaining detection consistency without significant time loss.
Data Source
AI summary
An autonomous mobile robot control system includes: a host management device; and an autonomous mobile robot. The host management device includes a data collection unit that collects sunshine condition data corresponding to a sunshine condition within a movement range of the autonomous mobile robot, and a parameter calculation unit that calculates, based on the sunshine condition data, an optimum parameter that reduces an influence of the sunshine condition corresponding to the sunshine condition data. The autonomous mobile robot includes a parameter setting unit that sets the optimum parameter. The autonomous mobile robot control system executes a predetermined operation based on the optimum parameter set by the parameter setting unit.