Modular Logistics Robot with Separable Storage Units
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Solution Overview
Problem
Existing logistics systems lack flexibility and efficiency in package transportation, as they often require fixed configurations and limited operational capabilities.
Innovation Solution
A logistics robot system comprising separable robot units and storage units, allowing for flexible configurations ranging from single units to multiple units and storage combinations, enabling autonomous travel and advanced package handling capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed configuration logistics system is used, then the system structure is simple, but the operational flexibility and adaptability are poor
Solution Approach 1:
The logistics robot is divided into separable robot units and storage units that can be independently configured. Each robot unit can operate with one or more storage units, allowing the system to be segmented into modular components that can be assembled in different configurations based on operational needs.
Solution Approach 2:
The system transitions from a fixed configuration to a dynamic, reconfigurable architecture where robot units and storage units can be connected or separated as needed. This dynamic structure enables the system to adapt its configuration based on task requirements, improving operational flexibility without permanently increasing complexity.
2Productivity
If multiple robot units and storage units are combined, then the transportation capacity and efficiency are improved, but the system complexity increases
Solution Approach 1:
Each robot unit is designed with universal interfaces and capabilities that allow it to work with any number of storage units. The robot units possess multi-functional capabilities including autonomous navigation, package handling, and communication, enabling a single robot unit type to perform various tasks across different configuration scenarios.
Solution Approach 2:
The system allows nested configurations where multiple robot units can collaborate around a central storage unit, or storage units can be arranged in hierarchical structures. This nesting approach enables scalable expansion where additional units are integrated into existing configurations without requiring complete system redesign.
3Adaptability or versatility
If separable robot units and storage units are used, then the operational flexibility is improved, but the connection and coordination complexity increases
Solution Approach 1:
The robot units and storage units are equipped with autonomous capabilities including self-navigation, self-identification, and automated connection protocols. When units need to connect or separate, they perform these actions autonomously without requiring complex external coordination, reducing the overall system coordination complexity.
Solution Approach 2:
The system implements communication devices that enable continuous feedback between robot units and storage units. This feedback mechanism allows units to automatically report their status, location, and operational state to the system controller and to each other, enabling coordinated operation through distributed intelligence rather than centralized complex control.
Data Source
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AI summary
A logistics robot (10) for transporting a package (P) includes: a robot unit (20) configured to make the logistics robot (10) travel; and a storage unit (50) configured to store the package (P). The robot unit (20) and the storage unit (50) are separable from each other.