Robot Light Source Unit for Dynamic Object Recognition
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Solution Overview
Problem
Robots face challenges in recognizing objects effectively due to their higher degree of freedom of movement and unpredictable environmental changes, such as ambient lighting and weather, which makes it difficult to provide optimal lighting for object recognition.
Innovation Solution
A robot equipped with a light source unit and a control unit that adjusts the light pattern to optimize object recognition by sensing the environment and controlling the light-emitting elements to achieve a higher class probability for object recognition, either by using stored patterns or randomly generating patterns until a suitable one is found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If dynamic lighting is implemented to cover wider areas, then the lighting coverage area is improved, but the difficulty of predicting environmental changes increases
Solution Approach 1:
The system uses sensing units to detect environmental conditions (ambient lighting, weather, object positions) and feeds this information back to the control unit, which dynamically adjusts the lighting pattern in response. This closed-loop feedback mechanism enables the lighting system to adapt to unpredictable environmental changes while maintaining optimal illumination for object recognition across wide areas.
Solution Approach 2:
The patent implements dynamic lighting patterns that can change in real-time based on environmental conditions. The control unit adjusts the intensity, direction, and distribution of light from multiple light-emitting elements dynamically, allowing the system to cover wide areas while adapting to changing environmental factors such as ambient lighting and weather conditions.
2Area of stationary object
If multiple light-emitting elements are used to cover wider areas, then the lighting coverage area is improved, but the device complexity increases
Solution Approach 1:
The lighting system is divided into multiple independent light-emitting elements, each capable of being controlled individually. This segmentation allows the system to cover wider areas by distributing light sources across different positions, while the modular nature of individual elements keeps each component relatively simple despite the overall system complexity.
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
The robot can maintain an object class probability higher than a threshold, enabling optimized object recognition even in diverse environments and situations, such as night or bad weather, by dynamically controlling lighting patterns.
Implementation Method 1
the sensing unit may recognize the object based on light emitted from the light source unit being reflected back from the object
Data Source
AI summary
The present invention provides a robot and a method for controlling same. The robot according to an embodiment of the present invention may comprise: a light source unit including a plurality of light-emitting elements; a sensing unit which senses information related to a space from which light is output in the light source unit; and a control unit which makes the light source unit emit light so that an object existing in the space is recognized through the sensing unit, wherein the control unit makes at least one of the plurality of light-emitting elements emit light such that a light pattern that causes a recognition rate for recognizing the object, to be greater than or equal to a preset value, is irradiated to the space.