Autonomous Moving Range Setting With Learned Entry Conditions
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Solution Overview
Problem
Existing systems for setting the moving range of mobile bodies, such as robots, require extensive and costly parameter setting for each area and object, necessitating prior knowledge of movement restrictions, which can lead to errors and increased operational costs.
Innovation Solution
A moving range setting system that includes an environment information acquisition unit, an entry determination unit, a storage unit, an output device, an input device, and a learning unit, which facilitates the setting of a mobile body's moving range by acquiring environment information, determining entry permissions, and updating entry determination conditions based on corrective information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive parameter setting is performed for every area and object, then the moving range control reliability is improved, but the setup time and economic cost increase significantly
Solution Approach 1:
The mobile body autonomously determines its own moving range by detecting obstacles and generating restriction information independently, eliminating the need for manual parameter setting by operators. The system performs self-configuration through environmental sensing and automatic map generation, resolving the contradiction between reliability and setup time.
Solution Approach 2:
The system pre-generates restriction information and surrounding maps based on obstacle detection before actual movement operations begin. By performing preliminary environmental assessment and automatic parameter generation in advance, the system ensures reliable moving range control without requiring time-consuming manual setup.
2Reliability
If extensive parameter setting is performed for every area and object, then the moving range control reliability is improved, but the economic cost increases significantly
Solution Approach 1:
The mobile body autonomously generates restriction information and moving range parameters through its own sensing capabilities, eliminating the need for paid operator time and manual configuration services. This self-configuration approach significantly reduces economic costs while maintaining control reliability through automated obstacle detection and map generation.
Solution Approach 2:
The system replaces manual mechanical parameter setting with automated electronic sensing and processing. By using sensors to detect obstacles and algorithms to generate restriction information automatically, the system eliminates labor-intensive manual configuration, reducing economic costs while improving reliability through consistent automated operation.
3Measurement precision
If manual setting of movement restrictions is performed, then the entry determination accuracy is improved, but the operational complexity increases
Solution Approach 1:
The mobile body automatically performs entry determination by comparing its current position with the generated surrounding map and restriction information. This self-determination process maintains accuracy through automated spatial reasoning while eliminating the operational complexity of manual parameter setting and configuration.
Solution Approach 2:
The system pre-generates comprehensive surrounding maps and restriction information before movement operations. By having all spatial data and movement constraints prepared in advance through automated processes, the system achieves accurate entry determination without requiring complex manual operations during actual use.
Data Source
AI summary
According to the present invention, a moving body capable of moving within a preset range of movement acquires an image from the environment surrounding the location of the moving body, and determines entry determination conditions for obtaining a result of an entry determination as to whether or not the moving body is allowed to enter a region identified by the location of the moving body and the image. A management terminal outputs the entry determination conditions and the image to an output device, and receives modification information relating to the entry determination conditions from an input device. A server uses the modification information received by the input device of the management terminal to perform learning, including updating of the entry determination conditions, thereby setting the movement range of the moving body, the movement of which is controlled in accordance with the entry determination result.