Autonomous Mobile Fleet Control for Collision-Aware Movement Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for managing autonomous mobile objects, such as trolleys and suitcases, are limited in flexibility and optimized management, particularly when dealing with a fleet of objects, as they primarily focus on following a single user and lack efficient collision avoidance and cost-effective solutions.
Innovation Solution
A centralized management server determines and transmits movement information to autonomous mobile objects within a fleet, allowing for optimized and flexible movement planning, considering multiple destinations, user positions, and obstacle detection, while reducing collision risks and maintaining cost-effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized management server is implemented to optimize fleet movement management, then the productivity and coordination of the fleet is improved, but the device complexity and infrastructure cost increase
Solution Approach 1:
A centralized management server is introduced as an intermediary between autonomous mobile objects and users. The server receives position information from objects and destination information from users, processes this data, and sends back movement information to guide objects. This mediator coordinates fleet movements, optimizes paths, and manages collisions centrally, improving overall fleet productivity while keeping individual objects relatively simple.
2Adaptability or versatility
If centralized data processing is used to enhance flexibility in movement planning, then the adaptability of the fleet is improved, but the loss of time for data transmission and processing increases
Solution Approach 1:
The management server continuously receives position information from autonomous mobile objects and maintains ongoing communication. Rather than periodic updates, the system establishes continuous data streams where objects constantly report their positions and the server continuously provides guidance. This continuous action reduces latency and keeps the fleet adaptable to changing conditions without significant time loss.
3Ease of manufacture
If existing geolocation infrastructure is leveraged for cost-effective solutions, then the manufacturing cost is reduced, but the measurement precision of position tracking may be limited
Solution Approach 1:
The system is designed to work with existing geolocation infrastructure such as GPS, cellular towers, or WiFi positioning systems. The management server accepts position information from various sources and adapts its processing accordingly. This universal approach allows the same system to function across different environments (outdoor, indoor, urban, rural) using available infrastructure, reducing manufacturing costs while providing sufficient precision for fleet management applications.
Data Source
AI summary
A method for managing movements of a fleet of a plurality of autonomous mobile objects capable of communicating with a management server. An autonomous mobile object is associated with a user terminal with which a user is equipped. The management server performs the following steps, for a given autonomous mobile object, referred to as a first object, associated with a first user terminal with which a user is equipped: obtaining information representing a position to be reached by the first object, referred to as first object destination information; determining information representing a movement to be made by the first object, referred to as first object movement information, the determining taking into account of at least the first object destination information; and transmitting the first object movement information to the first object.