Mobile Robot Incremental Map Expansion to Reduce Repeated Detection
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Solution Overview
Problem
Existing mobile robots face inefficiencies in mapping environments due to repeated detection of already mapped regions, leading to prolonged mapping times and reduced work efficiency.
Innovation Solution
A detection method for mobile robots that involves generating a region environment map by combining detection data from sensors with the robot's movement path, allowing the robot to expand its map incrementally without revisiting detected areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile robot adopts a sensor to detect during the movement until all passable regions are traversed, then the region environment map can be drawn completely, but the time-consuming for mapping becomes long and work efficiency is reduced
Solution Approach 1:
The patent applies preliminary action by performing detection and mapping tasks before the robot needs to return to the base station for charging or cleaning. The robot proactively expands the map to include undetected regions adjacent to the current map boundary, so that when it needs to return to the base station, no further detection is required. This eliminates the need for repeated detection trips and reduces total mapping time while ensuring complete coverage.
2Duration of action of stationary object
If the mobile robot travels back and forth to the base station for cleaning or charging, then the robot can maintain operation continuity, but the detected region will be repeatedly detected and work efficiency is reduced
Solution Approach 1:
The patent applies preliminary action by expanding the region environment map to include undetected regions adjacent to the current map boundary before the robot returns to the base station. This ensures that when the robot comes back from charging or cleaning, the map is already complete or sufficiently expanded, eliminating repeated detection of the same regions and improving work efficiency while maintaining operation continuity.
Solution Approach 2:
The patent uses feedback by continuously updating the region environment map with detection data and using this updated map information to plan subsequent detection paths. The robot receives feedback about which regions have been detected and which remain undetected, and adjusts its movement and detection strategy accordingly to avoid re-detecting already mapped areas, thereby improving productivity.
3Measurement precision
If the mobile robot traverses completely all passable regions, then the map coverage is complete, but the work efficiency of the mobile robot becomes low
Solution Approach 1:
The patent applies preliminary action by proactively detecting and mapping undetected regions adjacent to the current map boundary before the robot needs to return to the base station. This ensures complete map coverage is achieved in advance, eliminating the need for additional traversal trips and improving work efficiency while maintaining complete map coverage.
Data Source
AI summary
A detection method, a mobile robot and a storage medium belong to the technology field of the intelligent robot. The method applied to the mobile robot includes: obtaining a first region environment map through the detection sensor detecting the region environment; generating a detection target point based on the first region environment map; generating a first detection path based on the detection target point; obtaining a second region environment map through the detection sensor detecting the region environment during a movement according to the first detection path; in response to detecting that path detection executed by the mobile robot is over, generating the first detection path based on the second region environment map, determining a third region environment map according to the first detection path; loop executing an operation of determining the region environment map until the mobile robot detects that the entire region environment map is drawn.