Autonomous Processing Robot Control Using Color and Chlorophyll Sensing
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Solution Overview
Problem
Existing autonomous mobile processing robots lack efficient methods for determining optimal control types based on color and chlorophyll information, leading to suboptimal interactions with objects, particularly in green spaces.
Innovation Solution
A method involving the acquisition of color and chlorophyll information using independent measuring principles, followed by determining a control type for the processing robot, which enables improved interaction and autonomous operation without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complex acquisition method is used for color or chlorophyll information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the measurement task into two separate, simpler measurement channels: one for color information and one for chlorophyll information. Each channel uses its own dedicated sensor and measurement principle, allowing both measurements to be performed independently with optimized simplicity for each function rather than requiring a single complex integrated system.
Solution Approach 2:
The processing robot is equipped with multiple sensing capabilities (color sensor and chlorophyll sensor) that can independently perform different measurement functions. This multi-functionality allows the robot to gather comprehensive information about vegetation using simple, dedicated sensors rather than requiring a single complex sensor to perform all measurements.
2Adaptability or versatility
If multiple types of information are acquired simultaneously, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent segments the information acquisition system into independent color measurement and chlorophyll measurement channels. Each channel operates with its own simple sensor and processing logic, yet together they provide comprehensive object characterization that enhances robot adaptability without requiring a single complex measurement system.
Solution Approach 2:
The robot dynamically selects and applies different control types based on the combination of color and chlorophyll information acquired from objects. This dynamic adaptation allows the robot to adjust its behavior according to the specific characteristics of each object encountered, improving versatility while maintaining simple underlying measurement systems.
3Productivity
If autonomous operation with multiple sensing capabilities is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The autonomous control system is segmented into distinct modules that process color information and chlorophyll information separately, then combine their outputs to determine appropriate control types. This modular approach enables sophisticated autonomous decision-making while keeping each individual processing module relatively simple and manageable.
Solution Approach 2:
The robot performs preliminary information gathering by acquiring both color and chlorophyll data before determining the appropriate control type for processing. This preliminary sensing phase allows the robot to pre-assess objects and plan its actions accordingly, improving processing efficiency while maintaining simple sensing and control components.
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 approach allows for cost-effective, automatic, and contactless acquisition of information, leading to enhanced interaction and control of the processing robot with objects, enabling efficient autonomous operation in green spaces.
Implementation Method 1
acquiring an item of color information, in particular a content of the color information, about a color, in particular a value of the color and/or the color, of an object by means of a color measuring principle
Implementation Method 2
acquiring an item of chlorophyll information, in particular a content of the chlorophyll information, about a chlorophyll content, in particular a value of the chlorophyll content and/or the chlorophyll content, of the object by means of a chlorophyll measuring principle
Data Source
AI summary
A method for operating an autonomous mobile processing robot includes the following steps: a) acquiring an item of color information about a color of an object by use of a color measuring principle and acquiring an item of chlorophyll information about a chlorophyll content of the object by use of a chlorophyll measuring principle independently of the color measuring principle, b) determining a control type from a set of different control types of the processing robot based on at least the acquired color information and the acquired chlorophyll information, and c) controlling the processing robot according to the determined control type.