Cleaning Robot Real-Time Area Setting to Reduce Mapping Delay
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Solution Overview
Problem
Conventional cleaning robots require moving through the entire indoor space to generate a map and set a cleaning area, leading to delayed cleaning operations.
Innovation Solution
A cleaning robot that sets a cleaning area in real time while moving within the space by determining the position of entrances and using driving records, obstacle sensors, image acquisition, radar sensors, and magnetic field sensors to define cleaning areas dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the cleaning robot moves through the whole indoor cleaning space to generate a map, then the cleaning area can be accurately determined, but the cleaning time is delayed
Solution Approach 1:
The cleaning robot performs preliminary actions by detecting entrances and setting cleaning areas during the initial movement phase before complete mapping is finished. The controller identifies entrances using sensors and preliminary driving records, then sets cleaning areas based on this partial information, allowing cleaning to start before the entire space is mapped.
Solution Approach 2:
The cleaning space is segmented into multiple cleaning areas based on detected entrances and obstacles. Instead of waiting to map the entire space and then cleaning, the robot divides the space into manageable sections and cleans them progressively as they are identified, enabling parallel mapping and cleaning operations.
2Productivity
If the cleaning robot waits to set the cleaning area after complete mapping, then the cleaning path can be optimized, but the overall cleaning efficiency is reduced
Solution Approach 1:
The cleaning area setting is made dynamic rather than static. The controller continuously updates cleaning area definitions based on real-time sensor data and driving records during movement. This allows the cleaning plan to adapt and evolve as the robot gathers more information, improving efficiency without requiring complete prior mapping.
Solution Approach 2:
The system uses feedback from sensors (obstacle sensors, image sensors, radar sensors, magnetic field sensors) and driving records to continuously refine cleaning area determination. The controller processes this feedback information to identify entrances and adjust cleaning areas in real time, enabling efficient cleaning without complete preliminary mapping.
Data Source
AI summary
A cleaning robot may include a main body, a driver configured to move the main body, a cleaner configured to clean a cleaning space, and a controller configured to set at least one area among a plurality of areas included in the cleaning space as a cleaning area while the main body moves, and clean the cleaning area when the cleaning area is set.