Self-moving robot, obstacle crossing method, obstacle crossing system and computer-readable storage medium
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing self-moving robots with active obstacle crossing components face inefficiencies in cleaning frequency and increased damage due to frequent obstacle crossing, leading to reduced service life and cleaning efficiency.
Innovation Solution
The robot identifies obstacles based on height and employs different crossing frequencies for first and second types of obstacles, optimizing the use of the active crossing component to minimize crossings and reduce damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the active obstacle crossing component is started frequently to cross over obstacles, then the obstacle crossing ability is improved, but the service life of the robot is reduced and cleaning efficiency decreases
Solution Approach 1:
The patent changes the parameter of obstacle crossing frequency by classifying obstacles into different types (first type with height ≤ first threshold, second type with height > first threshold) and applying different crossing frequencies. For first type obstacles, the robot crosses frequently; for second type obstacles, the robot crosses infrequently or avoids them, thus reducing wear on the active obstacle crossing component while maintaining adequate obstacle crossing ability.
Solution Approach 2:
The patent applies partial action by not always activating the active obstacle crossing component. Instead of crossing all obstacles, the robot selectively crosses only certain types of obstacles (first type) and avoids or bypasses others (second type), thereby reducing the number of activations of the active obstacle crossing component and extending its service life.
2Reliability
If the active obstacle crossing component is started frequently to cross over obstacles, then the obstacle crossing ability is improved, but the cleaning efficiency is reduced
Solution Approach 1:
The patent changes the parameter of obstacle crossing frequency based on obstacle type. By setting different crossing frequencies for first type and second type obstacles, the robot optimizes the balance between maintaining obstacle crossing ability and preserving cleaning efficiency, avoiding unnecessary activations that would consume time and reduce productivity.
Solution Approach 2:
The patent applies partial action by selectively crossing only first type obstacles and avoiding second type obstacles. This partial crossing strategy reduces the time spent on obstacle crossing operations, thereby maintaining higher cleaning efficiency while still providing adequate obstacle crossing ability for the most common obstacle types.
3Productivity
If the robot crosses over all obstacles to complete cleaning tasks, then the cleaning coverage is improved, but the damage to the robot increases
Solution Approach 1:
The patent changes the parameter of obstacle crossing frequency by introducing obstacle type classification. For first type obstacles (height ≤ first threshold), the robot crosses with higher frequency; for second type obstacles (height > first threshold), the robot crosses with lower frequency or avoids them. This parameter change reduces cumulative damage while maintaining acceptable cleaning coverage.
Solution Approach 2:
The patent applies partial action by not crossing all obstacles. Instead, the robot selectively crosses first type obstacles and avoids second type obstacles, accepting partial loss of cleaning coverage in exchange for significantly reduced damage to the robot's active obstacle crossing component.
Data Source
AI summary
A control method for a self-moving robot, including: identifying a first type of obstacle and a second type of obstacle in an area to be cleaned, where a height of the first type of obstacle is less than a first height, a height of the second type of obstacle is greater than the first height and less than a second height; determining whether an angle between a first length direction of the first type of obstacle and a second length direction of the second type of obstacle is 90 degrees; when the angle is 90 degrees, determining a cleaning path based on the area to be cleaned and the second length direction; performing a cleaning task on the area to be cleaned based on the cleaning path, where an angle between a cleaning direction of the self-moving robot and the second length direction is less than a preset angle.