Mobile Body Route Guidance for Adaptive Autonomous Navigation
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Solution Overview
Problem
Current mobile body systems, such as telepresence robots, lack user convenience in terms of efficient route planning and navigation, particularly in diverse environments and applications, requiring improved methods for generating and utilizing route guidance information.
Innovation Solution
The mobile body system incorporates an information processor and a mobile body with an imaging unit and movement mechanism, featuring an information generator that creates route guidance information based on external and user-input data, allowing for various move modes and automatic route planning, including consideration of environmental factors like weather, electric power, and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual route selection is required for mobile body navigation, then user control flexibility is improved, but user convenience and operational efficiency deteriorate
Solution Approach 1:
The mobile body autonomously generates route guidance information using its onboard information generator, which processes external information (maps, weather, traffic) and internal information (battery status, movement constraints) to create navigation routes without requiring manual user input for route planning
Solution Approach 2:
The system pre-generates multiple candidate routes in advance based on current conditions and user preferences, allowing the mobile body to automatically select and execute the most appropriate route before movement begins, eliminating the need for real-time manual route selection
2Adaptability or versatility
If comprehensive environmental factors are considered in route generation, then navigation accuracy and adaptability are improved, but information processing complexity and energy consumption worsen
Solution Approach 1:
The information generator divides environmental factors into distinct categories (external information such as maps and weather, and internal information such as battery status and movement constraints), processing each segment independently and combining results to generate comprehensive routes while managing computational energy consumption
Solution Approach 2:
The system dynamically adjusts the level of detail and processing depth for different environmental factors based on current operational context, prioritizing critical factors (e.g., battery level for range-constrained routes) while reducing processing for less critical factors to optimize energy usage
3Adaptability or versatility
If multiple move modes are supported for different applications, then system versatility is improved, but control complexity and device configuration worsen
Solution Approach 1:
The information generator is designed as a universal system that handles multiple move modes (autonomous movement, remote control,, following movement) through a single integrated architecture, using the same information processing framework to generate route guidance information adapted to each specific move mode's requirements
Data Source
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AI summary
A mobile body includes: an imaging unit; a movement mechanism that moves itself; a wireless communication unit that performs wireless communication; and an information generator that generates, on a basis of external information received from outside by the wireless communication unit, route guidance information for use in allowing the movement mechanism to move itself.