Cleaning Robot Charging Port Selection and Navigation
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Solution Overview
Problem
Cleaning robots face challenges in selecting the closest charging port among multiple available options, leading to inefficient movement and increased power consumption.
Innovation Solution
Obtain position information of multiple charging ports and the robot's current position, determine the closest charging port based on distance or path length, and control the robot to move there for charging, thereby reducing travel distance and saving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cleaning robot moves to a charging port after finishing work or when battery is low, then the robot can be recharged and continue working, but the robot may travel a long distance to reach the charging port, increasing power consumption
Solution Approach 1:
The system pre-calculates and stores multiple charging port positions and routes before the robot needs charging. When the robot's battery is low or work is completed, it can immediately navigate to the nearest charging port using pre-planned routes, avoiding unnecessary exploration and reducing power consumption during the charging decision process
Solution Approach 2:
The system dynamically selects the optimal charging port and route based on the robot's current position, battery level, and real-time environmental conditions. Multiple charging ports are configured with different priorities, and the system adapts the charging destination selection according to the robot's state and environmental factors, minimizing travel distance and energy consumption
2Adaptability or versatility
If multiple charging ports are configured in the cleaning area, then the robot has more charging options and can charge more conveniently, but the robot faces difficulty in selecting the closest charging port, leading to inefficient movement
Solution Approach 1:
The system continuously monitors the robot's position, battery status, and the locations of multiple charging ports. It provides real-time feedback by calculating distances and evaluating route options, enabling the robot to intelligently select the most appropriate charging port based on current conditions, thus simplifying the decision-making process despite multiple options being available
Solution Approach 2:
The system changes the evaluation parameters for charging port selection based on the robot's state. When battery is critically low, it prioritizes the nearest charging port regardless of route complexity. When battery is moderately low, it may consider route efficiency and cleaning task completion. This dynamic parameter adjustment simplifies the selection process by adapting criteria to the situation
Data Source
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AI summary
The present disclosure relates to a charging method and a charging apparatus of a cleaning robot. With the method, position information of a plurality of charging ports available for the cleaning robot is obtained; when it is determined that the cleaning robot needs to be charged, current position information of the cleaning robot is obtained; a closest charging port from the plurality of charging ports which is the closest to a current position of the cleaning robot is determined according to the position information of the plurality of charging ports and the current position information of the cleaning robot; and the cleaning robot is controlled to move to the closest charging port according to the position information of the closest charging port. With the technical solution, the cleaning robot may be charged nearby, thereby reducing power consumption of the cleaning robot.