Vision Robot Map Update Control System
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Solution Overview
Problem
Current mobile robots frequently reconstruct maps when navigating the same working region, leading to increased computation and reduced efficiency, as they do not effectively utilize historical map information, resulting in a perceived poor learning ability for the environment.
Innovation Solution
A map update control method for vision robots that acquires real-time image data of road signs, compares the current map with a prestored historical map based on area, number of road signs, and storage time, deciding whether to update or keep the historical map, thereby optimizing map storage and reducing unnecessary computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot frequently reconstructs maps when navigating the same working region, then the map information is updated, but the computation amount increases and work efficiency decreases
Solution Approach 1:
The patent changes the parameter of map update frequency by comparing current map attributes with historical map attributes. Instead of updating maps at every traversal, the system evaluates whether significant changes have occurred before triggering a map reconstruction, thereby reducing unnecessary computation while maintaining map accuracy when needed
Solution Approach 2:
The system implements feedback by comparing current map attributes (area, road sign count, storage time) with historical map attributes. This feedback mechanism determines whether map reconstruction is necessary, allowing the robot to make informed decisions about when to update maps based on actual environmental changes rather than following a fixed update schedule
2Reliability
If the robot deletes historical maps and reconstructs new maps each time, then the map data is fresh, but the learning ability and familiarity with the working region deteriorate
Solution Approach 1:
The system performs preliminary comparison of map attributes before deciding to update or delete historical maps. By evaluating whether the current map significantly differs from the historical map in terms of area, road signs, and storage time, the system preserves valuable historical map information that contributes to the robot's learning and familiarity with the working region
Solution Approach 2:
The patent implements selective discarding and recovering of map information. Instead of deleting all historical maps, the system recovers and preserves them when they contain valuable learned information about the working region. Historical maps are only discarded when significant environmental changes make them obsolete, thus maintaining both data freshness and learning capability
Data Source
AI summary
A map update control method and a map update control system for a vision robot are disclosed. The map update control method includes the following steps: S1, measured data of the map attributes is acquired; S2, when it is detected that the vision robot completes a traversal of the preset working region, whether the current map and a prestored historical map meet a preset matching degree is judged according to the map attribute measured data, in a case that the current map and the prestored historical map meet the preset matching degree, it is determined to store the current map; and S3, when it is determined to store information of the map attributes corresponding to the current map, the information of the map attributes corresponding to the current map is written in a map storage medium, to update information of the map attributes corresponding to the historical map.