Robot-Specific Map Data Generation for Sensor-Adaptive Navigation
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Solution Overview
Problem
Existing map information providing systems for autonomous mobile robots are not adaptable to the varying sensors, accuracy, and measurement ranges of different robots, leading to unsuitable map generation for each specific robot.
Innovation Solution
A map data generation device that acquires spatial data using sensors and attribute data of autonomous robots, generating map data tailored to each robot's specifications, including sensor type, accuracy, and measurement range, to provide suitable and efficient map data for navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified map information providing system is used for all autonomous mobile devices, then the system complexity is reduced, but the map data cannot be optimized for each device's specific sensor characteristics and measurement capabilities
Solution Approach 1:
The patent applies parameter changes by adjusting map data parameters (resolution, detail level, data format) based on each robot's sensor characteristics such as sensor type, accuracy, and measurement range. The map information providing system stores multiple versions of map data with different parameters and selects the appropriate version based on the requesting robot's capabilities, thereby achieving adaptability without requiring completely separate systems for each robot type.
2Measurement precision
If high-resolution map data is provided to all robots, then navigation accuracy is improved, but the data transmission time and processing load increase
Solution Approach 1:
The patent applies local quality by providing different levels of map data detail to different robots based on their specific needs and capabilities. High-resolution map data with detailed navigation information is provided only to robots that require it (those with high-accuracy sensors), while lower-resolution data is provided to robots with less demanding sensor specifications. This ensures each robot receives appropriately optimized data, improving navigation accuracy for capable robots while reducing unnecessary data transmission for others.
3Reliability
If map data is customized for each robot's sensor specifications, then navigation performance is optimized, but the data processing and generation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-processing and organizing map data into multiple versions with different resolutions and formats before actual robot navigation tasks. The map information providing system prepares various versions of map data in advance, storing them with metadata describing their characteristics. When a robot requests map data, the system quickly selects the appropriate pre-prepared version based on the robot's sensor specifications, avoiding the need for complex real-time data processing and customization during navigation operations.
Data Source
AI summary
In order to provide a map suitable for a movable apparatus which autonomously moves, a map data generation device includes a spatial data acquisition unit configured to acquire spatial data generated by measuring an object present in a space with a sensor, an attribute data acquisition unit configured to acquire attribute data indicating an attribute of a movable apparatus which autonomously moves in the space, and a map data generation unit configured to generate map data which is used when the movable apparatus autonomously moves in the space on the basis of the attribute data and the spatial data.