Robot Mirror Detection and Map Updating for Safe Navigation
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Solution Overview
Problem
Robots lack the ability to distinguish mirrors from other obstacles during movement and update mirror locations on their maps, which can lead to potential damage to both the robot and the mirror.
Innovation Solution
A robot equipped with image acquisition units, indication lamps, and modules for image and lamp operation comparison, allowing it to determine if an obstacle is a mirror and update its location on a map by moving parallel to the mirror and acquiring movement location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot treats all obstacles as solid objects during movement, then it can avoid collisions with typical obstacles, but it cannot distinguish mirrors from other obstacles leading to potential damage
Solution Approach 1:
The patent uses optical properties (reflection characteristics) to distinguish mirrors from other obstacles. The image acquisition unit detects the high reflectivity of mirrors by analyzing the intensity and pattern of reflected light, enabling the robot to differentiate mirror surfaces from solid obstacles through optical property variations.
Solution Approach 2:
The patent introduces an indication lamp as an intermediary object to verify mirror detection. By observing the reflected image of the indication lamp in the detected obstacle, the robot can confirm whether the obstacle is a mirror, providing a reliable verification mechanism that bridges the gap between obstacle detection and mirror identification.
2Device complexity
If the robot does not update mirror locations on its map, then the map structure remains simple, but the robot may collide with mirrors during subsequent movements
Solution Approach 1:
The patent performs mirror detection and map updating proactively during the robot's normal movement and exploration phases. By identifying mirrors and updating their locations on the map in real-time or near-real-time, the system ensures that mirror information is available before potential collisions could occur in subsequent navigation operations.
Solution Approach 2:
The patent implements a feedback mechanism where the robot's navigation system continuously references the updated map containing mirror locations. This feedback loop ensures that the robot can plan safe paths that avoid mirrors, with the map serving as a persistent record that informs future navigation decisions based on past mirror detection experiences.
3Measurement precision
If the robot approaches the obstacle for closer inspection, then it can determine whether the obstacle is a mirror, but it increases the risk of collision with the mirror
Solution Approach 1:
The patent applies preliminary anti-action by first detecting the optical properties of the obstacle from a safe distance before any physical approach is made. The image acquisition unit analyzes reflection patterns and the indication lamp verification is performed remotely, allowing the robot to identify mirrors and adjust its navigation path to avoid them, thereby preventing the need for close approach that would increase collision risk.
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
This solution enables the robot to safely navigate around mirrors, preventing damage to itself and the mirror by accurately identifying and updating mirror locations on its map, thus enhancing its navigation capabilities.
Implementation Method 1
a robot capable of discriminating a mirror using indication lamps thereof
Implementation Method 2
comparing operation information of each of the first and second indication lamps with the image acquired through the image acquisition unit
Data Source
AI summary
A robot and a map update method using the same are disclosed. The robot includes: an image acquisition unit configured to acquire an image; a first indication lamp disposed at a first location; a second indication lamp disposed apart from the first location; an image determination module configured to compare an image learned and stored in the robot with the image acquired through the image acquisition unit; and an indication lamp determination module configured to compare operation information of each of the first and second indication lamps with the image acquired through the image acquisition unit.