Robot Cart Transfer Workflow With RFID Payload Verification
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Solution Overview
Problem
Current systems lack an efficient method for robotic management and coordination in facilities, particularly in transferring carts between locations, which is crucial for material transport and workflow efficiency.
Innovation Solution
A cart-based workflow system that includes a robot connected to a server and a graphic user interface (GUI), allowing users to coordinate the movement of robots and carts through a facility map, with the ability to pick up and drop off carts at designated transfer locations, using a code-based workflow and RFID verification for payload integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual cart transfer methods are used, then operational simplicity is maintained, but productivity and workflow efficiency deteriorate
Solution Approach 1:
The robot autonomously navigates to cart transfer locations, identifies carts using RFID tags, and performs pick-up and drop-off operations without continuous human intervention. The system self-manages the cart transfer workflow by receiving initial commands via GUI and then independently executing navigation, cart identification, and transfer operations.
Solution Approach 2:
The patent replaces manual mechanical cart handling with an automated robotic system that uses RFID electromagnetic fields for cart identification and server-based digital coordination for workflow management. This substitution of mechanical manual operations with automated electronic control systems resolves the contradiction between productivity improvement and system complexity.
2Productivity
If robotic automation is implemented for cart transfer, then productivity is improved, but ease of operation deteriorates
Solution Approach 1:
The GUI serves as an intermediary between the user and the robotic system, providing a simplified interface for initiating cart transfer operations. The user only needs to specify pickup and drop-off locations through the GUI, while the server and robot handle the complex coordination, navigation, and execution details automatically.
Solution Approach 2:
The system provides visual feedback through the GUI map display, showing robot locations, cart positions, and transfer status in real-time. This feedback mechanism allows users to monitor and coordinate multiple robots and carts efficiently, reducing the operational difficulty despite the automated complexity.
3Productivity
If multiple robots and carts are coordinated simultaneously, then productivity is enhanced, but device complexity increases
Solution Approach 1:
The server system performs multiple functions: it coordinates robot navigation, manages cart transfer workflows, processes RFID identification data, and provides GUI updates. This universal multi-functional server architecture allows simultaneous coordination of multiple robots and carts without proportionally increasing overall system complexity.
Solution Approach 2:
The system segments coordination tasks by robot and by cart transfer workflow, with each robot independently executing its assigned tasks while the server manages overall coordination. This segmentation allows parallel operation of multiple robots and carts while maintaining manageable system complexity through modular task distribution.
Data Source
AI summary
A cart-based workflow system includes: a robot operating in a facility; a server, the server operably connected to the robot, the server configured to do one or more of send the robot a cart transfer location usable for transferring the cart and instruct the robot to specify the cart transfer location; a graphic user interface (GUI) comprising a map of the facility, the GUI operably connected to the server, the GUI configured to do one or more of receive input from a human user and provide output to the human user, the GUI further configured to be usable by the user to coordinate movement of one or more of robots and carts.