Robotic Marker Reprogramming for Inventory Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional inventory systems face challenges in accurately and efficiently creating and updating marker data mappings within facilities to locate items, equipment, and people, due to high costs and error-prone manual processes, especially when equipment is moved or reconfigured.
Innovation Solution
A robotic system that autonomously identifies, reprograms, and places markers such as barcodes, locator tags, and beacons, creating and maintaining data mappings to accurately determine the physical locations of these markers and adjust their settings, including battery replacement and beam adjustments, to support efficient inventory processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to create and update marker data mappings, then flexibility and adaptability are maintained, but costs increase and errors occur
Solution Approach 1:
The robotic system autonomously performs marker identification, repurposing, placement, and data mapping creation without requiring manual human intervention. The robot navigates the facility, detects markers using sensors, determines their locations, and automatically updates the data mapping structure, making the system self-sufficient and eliminating labor costs while maintaining high accuracy
Solution Approach 2:
Manual mechanical processes of creating and updating marker data mappings are replaced with an automated robotic system equipped with sensors, processors, and actuators. The robot uses computational algorithms to identify markers, calculate their positions, and update the digital mapping structure, substituting human manual work with automated electromechanical and computational systems
2Productivity
If manual processes are used to create and update marker data mappings, then adaptability to changes is possible, but time consumption increases
Solution Approach 1:
The robotic system continuously performs marker management tasks by autonomously navigating through the facility, continuously detecting markers with its sensors, and实时更新 the data mapping structure without interruption. The robot can operate continuously without fatigue, maintaining constant productivity in creating and updating marker data mappings
Solution Approach 2:
The robot independently executes the entire workflow of marker identification, location determination, and data mapping updates without requiring human time investment. The autonomous system handles all tasks self-sufficiently, dramatically reducing the time loss associated with manual marker management while maintaining adaptability to facility changes
3Measurement precision
If conventional inventory systems are used, then existing infrastructure is utilized, but location accuracy and efficiency deteriorate
Solution Approach 1:
The robotic system acts as an intermediary between the physical markers in the facility and the digital data mapping structure. The robot uses its sensors to detect markers, processes their location information through its computer, and updates the mapping database, serving as a mediating agent that bridges the physical and digital realms to achieve accurate location tracking
Solution Approach 2:
The robotic system performs multiple functions including navigation, marker detection, location calculation, data mapping updates, and inventory tracking. This multi-functional robot consolidates several separate system components into one universal device, improving location accuracy while managing complexity through integration rather than proliferation of separate systems
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods for creating a data mapping to be used in a subsequent inventorying process to locate objects within an area. The methods comprise: identifying, by a robot, at least one first marker disposed within the area which should be re-programed; autonomously transforming, by the robot, a first programmed state of the at least one first marker to a second programmed state, and autonomously creating, by the robot, the data mapping specifying a current physical location of the at least one first marker which was re- programed and current physical locations of second markers also disposed within the area.