Robot Route Management for Real-Time Event Area Rerouting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of autonomous mobile robots and expanding travel areas pose a high processing burden on operators to quickly change travel routes when events occur, making it difficult to manage multiple robots effectively.
Innovation Solution
A management device and method that includes a memory for storing map information and processing circuitry to collect external information, identify robots in event areas, and recommend new travel routes to terminal devices, reducing the operational burden on operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each robot operator manually collects external information and rewrites travel routes for each robot when events occur, then the robot can avoid events, but the processing burden on the operator becomes very high and it becomes difficult to quickly change travel routes
Solution Approach 1:
The management device automatically performs information collection, event detection, robot identification, and travel route determination without requiring manual operator intervention. The system serves itself by autonomously processing external information, detecting events, identifying affected robots, and generating new travel routes, thereby eliminating the high processing burden on operators while maintaining reliable event avoidance capability
Solution Approach 2:
The management device acts as an intermediary between the external environment (events) and the robot control system. It receives external information, processes event data, identifies affected robots, and provides recommended travel routes to the terminal device, thereby mediating the complex information processing tasks and reducing the operational burden on robot operators
2Adaptability or versatility
If the number of robots and travel areas increases, then the coverage and capability of autonomous mobile robots improve, but the processing burden on robot operators increases significantly
Solution Approach 1:
The management device serves as a central intermediary that handles information collection, event detection, and travel route determination for multiple robots across multiple areas. This centralized mediation approach manages the increasing system complexity by consolidating processing tasks, allowing the system to scale to more robots and areas without proportionally increasing operator burden
Solution Approach 2:
The management device autonomously performs all necessary processing tasks including collecting external information, detecting events in multiple areas, identifying affected robots, and determining new travel routes. This self-service capability allows the system to handle increased numbers of robots and areas without requiring proportional increases in manual processing capacity
3Reliability
If operators need to quickly change travel routes for multiple robots when events occur, then robot safety and operational continuity are maintained, but the time required for processing increases due to the large number of robots and areas
Solution Approach 1:
The management device maintains map information for each area in advance and automatically processes external information to detect events as they occur. By having pre-stored map data and automated event detection capabilities ready beforehand, the system can quickly determine new travel routes without time-consuming manual processing, thus maintaining operational continuity while reducing response time
Solution Approach 2:
The management device autonomously and rapidly performs information collection, event detection, robot identification, and travel route determination without requiring sequential manual processing. This self-service automation dramatically reduces the time needed to change travel routes for multiple robots while ensuring operational continuity is maintained through rapid response to events
Data Source
AI summary
A management device includes a memory configured to store map information for each area where a robot, which autonomously travels outdoors and indoors, travels, and processing circuitry configured to collect external information, receive a current position of the robot or a travel route of the robot from a control device controlling the robot, detect an occurrence of an event and an event occurrence area where the event occurs, based on the external information, identify the robot located in the event occurrence area or the robot predicted to be located in the event occurrence area based on the current position of the robot or the travel route of the robot, determine information about a new travel route for each robot located in the event occurrence area or each robot predicted to be located in the event occurrence area based on the external information and the map information, and recommend information.