18366147. METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT simplified abstract (HYUNDAI MOBIS CO., LTD.)
Contents
- 1 METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT
Organization Name
Inventor(s)
Min Cheol Jeong of Suwon-si (KR)
METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18366147 titled 'METHOD AND APPARATUS FOR CONTROLLING LOGISTICS ROBOT
Simplified Explanation
The abstract describes a method implemented by a processor for optimizing logistics operations in a workspace environment by grouping calls and assigning missions to logistics robots based on call occurrence history and path calculations.
- Receiving call information and logistics types request for workstations
- Generating call occurrence history and grouping order for workstations
- Calculating target path call count and shortest path call count
- Performing call grouping using calculated counts
- Generating missions based on call grouping results
- Selecting logistics robot to perform missions
Potential Applications
This technology can be applied in various industries such as manufacturing, warehousing, and healthcare for optimizing logistics operations and improving efficiency.
Problems Solved
This technology solves the problem of inefficient logistics operations, manual call grouping, and suboptimal resource allocation in workspace environments.
Benefits
The benefits of this technology include increased productivity, reduced operational costs, improved resource utilization, and enhanced workflow efficiency in logistics operations.
Potential Commercial Applications
Optimized Logistics Operations: Improving efficiency and productivity in warehouse and manufacturing environments
Possible Prior Art
One possible prior art in this field is the use of automated guided vehicles (AGVs) in warehouse operations for material handling and transportation tasks.
Unanswered Questions
How does the system handle dynamic changes in call occurrence patterns?
The system's ability to adapt to changing call occurrence patterns and dynamically adjust call grouping and mission assignments is not explicitly mentioned in the abstract.
What is the scalability of the system in terms of handling a large number of workstations and logistics robots?
The abstract does not provide information on the scalability of the system in managing a high volume of workstations and logistics robots efficiently.
Original Abstract Submitted
A processor implemented method including receiving call information requesting one or more logistics types be supplied to one or more of a plurality of workstations, generating a call occurrence history and a call grouping order according to a respective workstation of the plurality of workstations corresponding to the call information, calculating a target path call count of a target path determined by the call grouping order, the calculating being based on checking the call occurrence history of a shared workstation of the plurality of workstations sharing the target path, calculating a shortest path call count with respect to calls that occur at paths other than the target path, performing a call grouping using the target path call count and the shortest path call count, generating a mission corresponding to a result of the call grouping, and selecting a logistics robot to perform the mission.
