Environment Mapping With ERP Object Data for Mobile Robot Localization
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Solution Overview
Problem
Autonomous navigation of mobile robots in logistics environments, such as port facilities, is challenging due to frequent movement of containers, which makes it difficult to create a permanent and accurate environmental map using traditional SLAM algorithms.
Innovation Solution
Incorporating information from a merchandise management system about the positions of mobile objects into the environmental map creation process, allowing for dynamic updates and differentiation between static and mobile objects, thereby enhancing localization accuracy and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional SLAM algorithms are used to create environmental maps in logistics environments, then the robot can navigate using sensor data, but the localization accuracy deteriorates due to frequent movement of containers and mobile objects
Solution Approach 1:
The patent combines data from multiple sources: sensor data from the robot (LIDAR, cameras) with position information from the ERP system about mobile objects. This merging of static sensor-based mapping with dynamic ERP-based object tracking creates a more reliable environmental map that accounts for moving containers and objects in logistics environments
Solution Approach 2:
The system dynamically updates the environmental map by integrating real-time position data from the ERP system about mobile objects. Instead of treating the map as static, the system continuously adapts it to reflect current positions of containers and other mobile objects, maintaining accuracy in changing logistics environments
2Measurement precision
If the environmental map is updated frequently to account for moving objects, then the localization accuracy improves, but the system complexity increases due to integration with ERP systems
Solution Approach 1:
The ERP system serves multiple functions: it not only manages logistics operations but also provides position information for environmental mapping. By making the ERP system multi-functional (serving both logistics management and navigation support), the patent avoids adding separate tracking systems, thereby reducing overall system complexity while improving localization accuracy
3Reliability
If mobile objects are tracked and integrated into the environmental map, then the navigation reliability improves, but the processing time increases due to continuous updates
Solution Approach 1:
The system performs preliminary actions by pre-integrating mobile object data into the environmental map structure. By preparing the map framework in advance with placeholders for mobile objects and establishing the integration architecture beforehand, the system reduces real-time processing demands when actual position updates occur, maintaining navigation reliability without excessive processing delays
Data Source
AI summary
In a method for creating an environment map for use in the autonomous navigation of a mobile robot (10) in a map-based localisation system in a logistics environment, mobile objects (20, 200) of a goods management system with a known position are included in the process of creating the environment map.