Mobile Robot Blind-Area Imaging for Obstacle Detection Load Control
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Solution Overview
Problem
Mobile robots face challenges in efficiently navigating facilities while avoiding obstacles, particularly in blind areas, due to the high computational load required for accurate obstacle detection and classification, which can increase image analysis burdens.
Innovation Solution
A robot control system that dynamically adjusts the image capture parameters, such as frame rate, resolution, and shooting range, when the mobile robot approaches a blind area, allowing for more accurate obstacle detection and speed adjustment without consistently high image analysis loads when not necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the amount of information from images is continuously increased to accurately detect obstacles in blind areas, then obstacle detection accuracy is improved, but image analysis load increases
Solution Approach 1:
The photographing device dynamically adjusts its operation parameters (frame rate, resolution, shooting range) based on the robot's proximity to blind areas. When the robot approaches a blind area, the device increases information capture; when远离, it reduces capture intensity. This dynamic adjustment resolves the contradiction by making the system adaptable rather than static.
Solution Approach 2:
The system changes physical parameters of image capture (frame rate, resolution, shooting range) based on spatial context. By adjusting these parameters according to whether the robot is approaching a blind area, the system achieves high detection accuracy only when necessary, thereby reducing overall computational load while maintaining safety.
2Reliability
If high-resolution continuous imaging is used to detect obstacles in blind areas, then safety is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous high-resolution imaging, the system employs periodic adjustment of imaging parameters based on the robot's position relative to blind areas. High-resolution capture is activated periodically when approaching blind areas and deactivated or reduced when away, creating a rhythmic pattern of high and low energy consumption states that maintains safety while reducing overall energy use.
Solution Approach 2:
The system changes imaging parameters (frame rate, resolution) based on spatial context and safety requirements. By adjusting these parameters dynamically according to whether the robot is near blind areas, the system maintains high safety standards when needed while consuming less energy during normal navigation.
3Area of stationary object
If the shooting range of the photographing device is increased to cover blind areas, then obstacle detection coverage is improved, but image analysis complexity increases
Solution Approach 1:
The system segments the detection task by adjusting the shooting range dynamically. Instead of maintaining a constantly wide shooting range that captures unnecessary areas, the system expands the shooting range specifically when approaching blind areas where obstacles need to be detected, and reduces it during normal navigation. This segmentation of the detection task reduces overall analysis complexity.
Solution Approach 2:
The shooting range parameter is made dynamic rather than static. The photographing device adjusts its shooting range based on the robot's proximity to blind areas, expanding coverage only when spatial context indicates potential obstacles, and reducing coverage when safe navigation is confirmed, thereby reducing image analysis complexity.
Data Source
AI summary
In a robot control system, the operation of a mobile robot that moves autonomously inside a facility is controlled based at least on an image captured by a photographing device that photographs a blind area located at a blind angle to the mobile robot. When entry of the mobile robot into a predetermined area corresponding to the blind area is detected, the amount of information obtainable from an image captured by the photographing device is increased.