Autonomous Mobile Robots with 3D Rail Navigation for Warehouse Automation
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Solution Overview
Problem
Small and medium-sized warehouses face challenges in implementing automated warehouse solutions due to high capital costs, poor modularity, downtime requirements, limited flexibility, and redundancy issues, making it difficult for them to efficiently manage labor costs, storage capacity, and adapt to changing demands.
Innovation Solution
An automated warehouse system comprising autonomous mobile robots with 3D navigation capabilities, a network of vertical and horizontal rails, and a Real Time Traffic Management server, allowing for modular integration, flexible scalability, and redundancy to manage tasks efficiently and adapt to changing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prior art automated warehouse solutions are implemented, then productivity and operational efficiency are improved, but capital equipment investment cost increases significantly
Solution Approach 1:
The automated warehouse system is divided into modular components: autonomous mobile robots, rail networks, and control systems. Each module can be independently deployed and scaled, allowing SMWs to implement automation incrementally rather than requiring complete system replacement, thus reducing capital investment while maintaining productivity improvements
Solution Approach 2:
The system uses autonomous mobile robots that navigate and operate independently without requiring complex infrastructure like cranes or automated storage systems. The robots self-navigate using sensors and processors, performing picking and placement tasks autonomously, which reduces equipment complexity and investment cost while maintaining operational efficiency
2Ease of operation
If prior art automated solutions are implemented, then operational control is improved, but modularity decreases making reorganization difficult
Solution Approach 1:
The system employs dynamic autonomous robots that can adapt their paths and operations in real-time based on changing warehouse conditions. The modular rail network allows flexible reconfiguration of robot routes and operational zones, enabling easy reorganization of warehouse layouts without rigid structural constraints, thus maintaining both control and adaptability
3Productivity
If prior art automated solutions are implemented, then productivity is improved, but implementation downtime increases requiring 3-12 months of sterile environment
Solution Approach 1:
The autonomous robots and control systems are pre-configured and tested independently before deployment. The modular architecture allows parallel implementation across different warehouse zones, enabling phased rollout that maintains operational continuity and reduces overall implementation downtime while achieving productivity improvements
4Manufacturing precision
If prior art automated solutions are designed for specific output rates, then manufacturing precision is improved, but adaptability decreases when taking on new customers with different requirements
Solution Approach 1:
The autonomous mobile robots are designed with universal capabilities to handle various product types, sizes, and weights. The control system can dynamically adjust operational parameters for different customers and product requirements, allowing the same hardware platform to serve multiple functions and customers with different specifications, thus maintaining precision while enabling adaptability
5Reliability
If prior art automated solutions require major structural changes, then reliability is improved, but ease of manufacture decreases requiring 100% overhaul
Solution Approach 1:
The system extracts the core automation function into standalone autonomous robots that operate independently of the warehouse's existing structural infrastructure. Rather than requiring major structural overhauls for rails or support systems, the robots use their own navigation and movement mechanisms, reducing implementation effort while maintaining system reliability through autonomous operation
Data Source
AI summary
The invention is an automatic system for picking and placing boxes on shelves in a warehouse. The system comprises a set of autonomous mobile robots; a network of vertical and horizontal rails that are parallel to the vertical support posts and horizontal shelves of the shelving system in the warehouse; and a Real Time Traffic Management (RTTM) server, which is a central processing server configured to communicate with the robots and other processors and servers in the warehouse. The system is characterized in that the robots comprise a set of on-board sensors, a processor, software, and other electronics configured to provide them with three-dimensional navigation and travel capabilities that enable them to navigate and travel autonomously both along the floor and up the vertical rails and along the horizontal rails of the network of rails to reach an exact location on the floor or shelving system of the warehouse.