Cleaning Robot Base Docking Strategy for Varied Base Structures
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Solution Overview
Problem
Cleaning robots face issues with moving onto or out of bases with different functions, leading to potential getting stuck or failure to dock, due to varying base structures and sensor misinterpretation of obstacles.
Innovation Solution
A method and apparatus for controlling cleaning robots to determine the type of target base and task information, using light ray signals and sensor adjustments to align and move onto or out of bases with specific strategies, ignoring certain sensor signals to enhance docking success.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cleaning robot uses a single movement strategy for all base types, then the control system is simple, but the robot may get stuck or fail to dock with bases of different structures
Solution Approach 1:
The patent implements dynamic adjustment of movement strategies based on detected base type. The robot transitions from a fixed single strategy to multiple adaptive strategies (forward movement, backward movement, rotation) selected according to the specific base structure detected, thereby improving docking reliability without requiring permanently complex hardware
Solution Approach 2:
The patent changes movement parameters (direction, speed, distance) based on base type detection. Different base types trigger different movement parameter configurations, allowing the robot to adapt its docking behavior to various base structures while maintaining a unified control framework
2Productivity
If the robot ignores certain sensor signals during docking, then docking efficiency improves, but the robot may miss real obstacles
Solution Approach 1:
The patent performs preliminary classification of base types before docking using light ray signals. By identifying the base type in advance, the system can pre-determine which sensor signals to ignore during the docking process, allowing efficient docking while maintaining obstacle detection capability for non-base objects
Solution Approach 2:
The patent uses light ray signals as an intermediary to distinguish between base structures and real obstacles. This intermediary signaling mechanism allows the robot to temporarily disable obstacle detection for recognized base patterns while maintaining detection for unrecognized objects, balancing docking efficiency with safety
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
Reduces the risk of the robot getting stuck or failing to dock by employing tailored movement strategies based on base type and task, improving the reliability and efficiency of base interactions.
Implementation Method 1
acquiring a second base type when the cleaning robot moves onto the target base in an automatic mode, wherein the acquiring a second base type includes receiving light rays emitted by a signal lamp on the base, and determining the second base type according to the light rays emitted by the signal lamp
Data Source
AI summary
A method for controlling a cleaning robot to return to a base includes: determining a type of a first target base and first target task information, where the first target base is a base to be docked with the cleaning robot, and the first target task information is information related to a task that needs to be performed by the cleaning robot for returning to the first target base; and controlling, based on the type of the first target base and the first target task information, the cleaning robot to move onto the first target base according to a respective movement strategy.